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< img src = "../logo.png" class = "logo" alt = "" > < h1 > Create a regression model programatically< / h1 >
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< small class = "dont-index" > Source: < a href = "https://github.com/agdamsbo/FreesearchR/blob/main/R/regression_model.R" class = "external-link" > < code > R/regression_model.R< / code > < / a > < / small >
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< div class = "d-none name" > < code > regression_model.Rd< / code > < / div >
< / div >
< div class = "ref-description section level2" >
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< p > Output is a concatenated list of model information and model< / p >
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< / div >
< div class = "section level2" >
< h2 id = "ref-usage" > Usage< a class = "anchor" aria-label = "anchor" href = "#ref-usage" > < / a > < / h2 >
< div class = "sourceCode" > < pre class = "sourceCode r" > < code > < span > < span class = "fu" > regression_model< / span > < span class = "op" > (< / span > < / span >
< span > < span class = "va" > data< / span > ,< / span >
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< span > outcome.str < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
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< span > auto.mode < span class = "op" > =< / span > < span class = "cn" > FALSE< / span > ,< / span >
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< span > formula.str < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > args.list < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > fun < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > vars < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > < span class = "va" > ...< / span > < / span >
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< span > < span class = "op" > )< / span > < / span >
< span > < / span >
< span > < span class = "fu" > regression_model_uv< / span > < span class = "op" > (< / span > < / span >
< span > < span class = "va" > data< / span > ,< / span >
< span > < span class = "va" > outcome.str< / span > ,< / span >
< span > args.list < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > fun < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > vars < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > < span class = "va" > ...< / span > < / span >
< span > < span class = "op" > )< / span > < / span >
< span > < / span >
< span > < span class = "fu" > regression_model_list< / span > < span class = "op" > (< / span > < / span >
< span > < span class = "va" > data< / span > ,< / span >
< span > < span class = "va" > outcome.str< / span > ,< / span >
< span > < span class = "va" > fun.descr< / span > ,< / span >
< span > fun < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > formula.str < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > args.list < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > vars < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > < span class = "va" > ...< / span > < / span >
< span > < span class = "op" > )< / span > < / span >
< span > < / span >
< span > < span class = "fu" > regression_model_uv_list< / span > < span class = "op" > (< / span > < / span >
< span > < span class = "va" > data< / span > ,< / span >
< span > < span class = "va" > outcome.str< / span > ,< / span >
< span > < span class = "va" > fun.descr< / span > ,< / span >
< span > fun < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > formula.str < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > args.list < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > vars < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span >
< span > < span class = "va" > ...< / span > < / span >
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< span > < span class = "op" > )< / span > < / span > < / code > < / pre > < / div >
< / div >
< div class = "section level2" >
< h2 id = "arguments" > Arguments< a class = "anchor" aria-label = "anchor" href = "#arguments" > < / a > < / h2 >
< dl > < dt id = "arg-data" > data< a class = "anchor" aria-label = "anchor" href = "#arg-data" > < / a > < / dt >
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< dd > < p > data< / p > < / dd >
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< dt id = "arg-outcome-str" > outcome.str< a class = "anchor" aria-label = "anchor" href = "#arg-outcome-str" > < / a > < / dt >
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< dd > < p > name of outcome variable< / p > < / dd >
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< dt id = "arg-auto-mode" > auto.mode< a class = "anchor" aria-label = "anchor" href = "#arg-auto-mode" > < / a > < / dt >
< dd > < p > Make assumptions on function dependent on outcome data format. Overwrites other arguments.< / p > < / dd >
< dt id = "arg-formula-str" > formula.str< a class = "anchor" aria-label = "anchor" href = "#arg-formula-str" > < / a > < / dt >
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< dd > < p > custom formula glue string. Default is NULL.< / p > < / dd >
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< dt id = "arg-args-list" > args.list< a class = "anchor" aria-label = "anchor" href = "#arg-args-list" > < / a > < / dt >
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< dd > < p > custom character string to be converted using
argsstring2list() or list of arguments. Default is NULL.< / p > < / dd >
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< dt id = "arg-fun" > fun< a class = "anchor" aria-label = "anchor" href = "#arg-fun" > < / a > < / dt >
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< dd > < p > name of custom function. Default is NULL.< / p > < / dd >
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< dt id = "arg-vars" > vars< a class = "anchor" aria-label = "anchor" href = "#arg-vars" > < / a > < / dt >
< dd > < p > character vector of variables to include< / p > < / dd >
< dt id = "arg--" > ...< a class = "anchor" aria-label = "anchor" href = "#arg--" > < / a > < / dt >
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< dd > < p > ignored< / p > < / dd >
< dt id = "arg-fun-descr" > fun.descr< a class = "anchor" aria-label = "anchor" href = "#arg-fun-descr" > < / a > < / dt >
< dd > < p > Description of chosen function matching description in
"supported_functions()"< / p > < / dd >
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< / dl > < / div >
< div class = "section level2" >
< h2 id = "value" > Value< a class = "anchor" aria-label = "anchor" href = "#value" > < / a > < / h2 >
< p > object of standard class for fun< / p >
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< p > object of standard class for fun< / p >
< p > list< / p >
< p > list< / p >
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< / div >
< div class = "section level2" >
< h2 id = "ref-examples" > Examples< a class = "anchor" aria-label = "anchor" href = "#ref-examples" > < / a > < / h2 >
< div class = "sourceCode" > < pre class = "sourceCode r" > < code > < span class = "r-in" > < span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > regression_model< / span > < span class = "op" > (< / span > outcome.str < span class = "op" > =< / span > < span class = "st" > "age"< / span > < span class = "op" > )< / span > < / span > < / span >
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< span class = "r-err co" > < span class = "r-pr" > #> < / span > < span class = "error" > Error in str2lang(x):< / span > < text> :2:0: unexpected end of input< / span >
< span class = "r-err co" > < span class = "r-pr" > #> < / span > 1: age~< / span >
< span class = "r-err co" > < span class = "r-pr" > #> < / span > ^< / span >
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< span class = "r-in" > < span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > regression_model< / span > < span class = "op" > (< / span > < / span > < / span >
< span class = "r-in" > < span > outcome.str < span class = "op" > =< / span > < span class = "st" > "age"< / span > ,< / span > < / span >
< span class = "r-in" > < span > auto.mode < span class = "op" > =< / span > < span class = "cn" > FALSE< / span > ,< / span > < / span >
< span class = "r-in" > < span > fun < span class = "op" > =< / span > < span class = "st" > "stats::lm"< / span > ,< / span > < / span >
< span class = "r-in" > < span > formula.str < span class = "op" > =< / span > < span class = "st" > "{outcome.str}~."< / span > ,< / span > < / span >
< span class = "r-in" > < span > args.list < span class = "op" > =< / span > < span class = "cn" > NULL< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > Call:< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > (function (formula, data, subset, weights, na.action, method = "qr", < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > contrasts = NULL, offset, ...) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > {< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > ret.x < - x< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > ret.y < - y< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > cl < - match.call()< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > mf < - match.call(expand.dots = FALSE)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > m < - match(c("formula", "data", "subset", "weights", "na.action", < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > "offset"), names(mf), 0L)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > mf < - mf[c(1L, m)]< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > mf$drop.unused.levels < - TRUE< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > mf[[1L]] < - quote(stats::model.frame)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > mf < - eval(mf, parent.frame())< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (method == "model.frame") < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > return(mf)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > else if (method != "qr") < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > warning(gettextf("method = '%s' is not supported. Using 'qr'", < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > method), domain = NA)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > mt < - attr(mf, "terms")< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > y < - model.response(mf, "numeric")< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > w < - as.vector(model.weights(mf))< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (!is.null(w) & & !is.numeric(w)) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > stop("'weights' must be a numeric vector")< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > offset < - model.offset(mf)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > mlm < - is.matrix(y)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > ny < - if (mlm) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > nrow(y)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > else length(y)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (!is.null(offset)) {< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (!mlm) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > offset < - as.vector(offset)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (NROW(offset) != ny) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > stop(gettextf("number of offsets is %d, should equal %d (number of observations)", < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > NROW(offset), ny), domain = NA)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > }< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (is.empty.model(mt)) {< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > x < - NULL< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z < - list(coefficients = if (mlm) matrix(NA_real_, 0, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > ncol(y)) else numeric(), residuals = y, fitted.values = 0 * < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > y, weights = w, rank = 0L, df.residual = if (!is.null(w)) sum(w != < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0) else ny)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (!is.null(offset)) {< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$fitted.values < - offset< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$residuals < - y - offset< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > }< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > }< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > else {< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > x < - model.matrix(mt, mf, contrasts)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z < - if (is.null(w)) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > lm.fit(x, y, offset = offset, singular.ok = singular.ok, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > ...)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > else lm.wfit(x, y, w, offset = offset, singular.ok = singular.ok, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > ...)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > }< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > class(z) < - c(if (mlm) "mlm", "lm")< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$na.action < - attr(mf, "na.action")< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$offset < - offset< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$contrasts < - attr(x, "contrasts")< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$xlevels < - .getXlevels(mt, mf)< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$call < - cl< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$terms < - mt< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (model) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$model < - mf< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (ret.x) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$x < - x< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (ret.y) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$y < - y< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > if (!qr) < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z$qr < - NULL< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > z< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > })(formula = age ~ ., data = structure(list(trt = structure(c(1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 1L, 2L, 1L, 1L, 1L, 1L), levels = c("Drug A", "Drug B"), class = "factor", label = "Chemotherapy Treatment"), < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > age = structure(c(23, 9, 31, NA, 51, 39, 37, 32, 31, 34, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 42, 63, 54, 21, 48, 71, 38, 49, 57, 46, 47, 52, 61, 38, 34, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 49, 63, 67, 68, 78, 36, 37, 53, 36, 51, 48, 57, 31, 37, 28, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 40, 49, 61, 56, 54, 71, 38, 31, 48, NA, 83, 52, 32, 53, 69, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 60, 45, 39, NA, 38, 36, 71, 31, 43, 57, 53, 25, 44, 25, 30, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 51, 40, NA, 43, 21, 54, 67, 43, 54, 41, 34, 34, 6, 39, 36, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 58, 27, 47, NA, 50, 61, 47, 52, 51, 68, 33, 65, 34, 38, 60, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 10, 49, 56, 50, 60, 49, 54, 39, 48, 65, 47, 61, 34, NA, NA, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 58, 26, 44, 17, 68, 57, 66, 44, NA, 67, 48, 62, 35, 53, 53, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 66, 55, 57, 47, 58, 43, 45, 44, 63, 59, 44, 53, 51, 28, 65, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 63, 76, 61, 33, 48, 42, 36, 55, 20, 26, 50, 47, 74, 50, 31, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 45, 51, 66, 76, 47, 48, 56, 70, 46, 43, 41, 41, 19, 49, 43, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 43, 75, 52, 42, 37, 45, 35, 67, 38, 44, 45, 39, 46, NA, 42, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 60, 31, 45, 38, NA, 19, 69, 66, NA, 64), label = "Age"), < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > marker = structure(c(0.16, 1.107, 0.277, 2.067, 2.767, 0.613, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.354, 1.739, 0.144, 0.205, 0.513, 0.06, 0.831, 0.258, 0.128, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.445, 2.083, 0.157, 0.066, 0.325, 0.266, 0.719, 1.713, 0.096, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.105, 0.043, 0.981, 1.156, 0.105, 0.175, 0.309, 1.869, 2.008, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1.894, 0.16, 1.209, 0.108, 0.611, 0.222, 0.803, 0.37, NA, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.177, 1.479, 0.161, 0.737, 0.124, 0.092, 0.385, 0.21, 0.475, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1.628, 0.583, NA, 0.702, 1.206, 2.213, 1.406, 0.101, 0.013, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2.032, 1.046, 0.408, 2.636, 1.263, NA, 2.447, 1.041, 0.531, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.924, 1.087, 0.733, 2.157, 0.333, 1.527, 2.238, 0.153, 0.305, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.131, 0.386, 1.645, 1.321, 0.229, 0.615, 1.976, 1.941, 0.22, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3.874, 0.982, 1.68, 1.091, 0.169, 0.511, 2.141, 0.599, NA, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.389, 0.005, 0.075, 1.491, 0.358, 1.709, 0.056, 1.354, 2.522, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.387, 0.592, 0.243, 0.215, 1.207, 0.29, 0.718, 0.589, 0.003, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1.328, 0.308, 0.691, 3.249, 0.039, 1.804, 0.238, 2.702, 1.441, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.27, NA, NA, 0.062, 2.19, 0.976, 3.062, 0.124, 0.045, 1.892, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.711, 1.079, 1.061, 0.239, 0.361, 0.033, 1.133, 1.225, 1.418, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3.751, 3.02, 0.086, 0.772, 1.882, 2.725, 2.41, 0.352, 0.895, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.215, 0.141, 2.288, 1.658, 1.255, 1.306, 0.081, 0.667, 0.046, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.662, 1.985, 1.063, 1.55, 0.015, 0.056, NA, 0.51, 0.929, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2.345, 0.25, 0.816, 0.022, 0.16, 0.547, 3.642, 0.092, 1.2, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1.512, 2.124, NA, 0.862, 0.182, 1.075, 0.021, 0.402, 0.063, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1.129, 0.61, NA, 0.717, 0.205, 0.946, 0.386, 0.37, 1.148, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > NA, 0.136, 0.439, 1.148), label = "Marker Level (ng/mL)"), < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > stage = structure(c(1L, 2L, 1L, 3L, 4L, 4L, 1L, 1L, 1L, 3L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 3L, 4L, 4L, 1L, 4L, 4L, 2L, 1L, 1L, 2L, 2L, 4L, 4L, 4L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 4L, 1L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 4L, 4L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3L, 1L, 4L, 3L, 4L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 4L, 1L, 4L, 2L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 4L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 2L, 2L, 1L, 4L, 4L, 2L, 2L, 4L, 4L, 3L, 2L, 4L, 3L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 4L, 1L, 2L, 1L, 4L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 3L, 4L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 4L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 3L, 4L, 1L, 4L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3L, 3L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 2L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 3L, 4L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 4L, 2L, 2L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 4L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 4L, 4L, 2L, 3L, 4L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 2L, 2L, 4L, 3L, 3L, 2L, 2L, 4L, 3L), levels = c("T1", < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > "T2", "T3", "T4"), class = "factor", label = "T Stage"), < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > grade = structure(c(2L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 2L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3L, 1L, 3L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 3L, 3L, 1L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 3L, 2L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 2L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 3L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 3L, 1L), levels = c("I", < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > "II", "III"), class = "factor", label = "Grade"), response = structure(c(0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 1L, 0L, NA, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 0L, NA, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, NA, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, NA, 1L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, NA, 0L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, 0L, 0L), label = "Tumor Response"), death = structure(c(0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 1L, 0L, 1L, 0L), label = "Patient Died"), ttdeath = structure(c(24, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 24, 24, 17.64, 16.43, 15.64, 24, 18.43, 24, 10.53, 24, 24, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 14.34, 12.89, 22.68, 8.71, 24, 15.21, 24, 24, 24, 24, 16.92, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 23.89, 6.32, 15.77, 24, 24, 15.45, 17.43, 24, 20.9, 24, 24, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 24, 21.19, 12.52, 24, 15.59, 18, 18.02, 12.43, 12.1, 24, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 17.42, 24, 24, 24, 12.19, 10.02, 18.23, 10.42, 24, 24, 19.34, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 12.21, 14.46, 19.34, 10.16, 13.15, 10.12, 24, 22.77, 24, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 24, 22.13, 24, 20.62, 23.23, 7.38, 24, 24, 24, 24, 24, 19.22, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 7.27, 23.88, 16.23, 24, 14.06, 24, 24, 24, 16.44, 23.81, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 24, 18.37, 11.44, 20.94, 5.33, 22.92, 10.33, 24, 24, 14.54, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 19.14, 24, 21.19, 16.07, 9.97, 24, 24, 24, 19.75, 16.67, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 11.18, 18.29, 24, 17.56, 17.45, 24, 22.86, 13.68, 24, 24, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 17.46, 24, 24, 24, 24, 24, 13, 9.73, 15.65, 24, 3.53, 20.35, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 23.41, 16.47, 24, 24, 14.65, 17.81, 24, 21.83, 24, 24, 21.49, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 12.68, 24, 24, 24, 24, 10.07, 24, 24, 24, 8.37, 20.33, 24, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 24, 21.33, 12.63, 13.08, 24, 15.1, 20.14, 10.55, 24, 24, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 24, 24, 23.6, 24, 19.98, 15.55, 23.72, 22.41, 19.54, 16.57, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 24, 24, 24, 21.91, 24, 12.53, 24, 18.63, 14.82, 16.46, 24, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 9.24, 17.77, 24, 24, 9.92, 16.16, 10.51, 20.81, 24, 16.44, < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 24, 22.4, 11.76, 24, 21.6, 24, 19.81, 24), label = "Months to Death/Censor")), class = c("tbl_df", < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > "tbl", "data.frame"), row.names = c(NA, -200L)))< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > Coefficients:< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > (Intercept) trtDrug B marker stageT2 stageT3 stageT4 < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 45.9247 -0.4052 -0.1435 2.0519 2.4437 -3.1573 < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > gradeII gradeIII response death ttdeath < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > 0.1750 1.6855 4.9885 3.0775 -0.1394 < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > < / span >
2025-02-19 12:39:19 +00:00
< span class = "r-in" > < span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > < a href = "default_parsing.html" > default_parsing< / a > < / span > < span class = "op" > (< / span > < span class = "op" > )< / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > regression_model< / span > < span class = "op" > (< / span > < / span > < / span >
< span class = "r-in" > < span > outcome.str < span class = "op" > =< / span > < span class = "st" > "trt"< / span > ,< / span > < / span >
< span class = "r-in" > < span > auto.mode < span class = "op" > =< / span > < span class = "cn" > FALSE< / span > ,< / span > < / span >
< span class = "r-in" > < span > fun < span class = "op" > =< / span > < span class = "st" > "stats::glm"< / span > ,< / span > < / span >
< span class = "r-in" > < span > args.list < span class = "op" > =< / span > < span class = "fu" > < a href = "https://rdrr.io/r/base/list.html" class = "external-link" > list< / a > < / span > < span class = "op" > (< / span > family < span class = "op" > =< / span > < span class = "fu" > < a href = "https://rdrr.io/r/stats/family.html" class = "external-link" > binomial< / a > < / span > < span class = "op" > (< / span > link < span class = "op" > =< / span > < span class = "st" > "logit"< / span > < span class = "op" > )< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "op" > )< / span > < / span > < / span >
2025-04-11 11:41:33 +00:00
< span class = "r-err co" > < span class = "r-pr" > #> < / span > < span class = "error" > Error in str2lang(x):< / span > < text> :2:0: unexpected end of input< / span >
< span class = "r-err co" > < span class = "r-pr" > #> < / span > 1: trt~< / span >
< span class = "r-err co" > < span class = "r-pr" > #> < / span > ^< / span >
2025-02-19 12:39:19 +00:00
< span class = "r-in" > < span > < span class = "va" > m< / span > < span class = "op" > < -< / span > < span class = "va" > mtcars< / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > < a href = "default_parsing.html" > default_parsing< / a > < / span > < span class = "op" > (< / span > < span class = "op" > )< / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > regression_model< / span > < span class = "op" > (< / span > < / span > < / span >
< span class = "r-in" > < span > outcome.str < span class = "op" > =< / span > < span class = "st" > "mpg"< / span > ,< / span > < / span >
< span class = "r-in" > < span > auto.mode < span class = "op" > =< / span > < span class = "cn" > FALSE< / span > ,< / span > < / span >
< span class = "r-in" > < span > fun < span class = "op" > =< / span > < span class = "st" > "stats::lm"< / span > ,< / span > < / span >
< span class = "r-in" > < span > formula.str < span class = "op" > =< / span > < span class = "st" > "{outcome.str}~{paste(vars,collapse='+')}"< / span > ,< / span > < / span >
< span class = "r-in" > < span > args.list < span class = "op" > =< / span > < span class = "cn" > NULL< / span > ,< / span > < / span >
< span class = "r-in" > < span > vars < span class = "op" > =< / span > < span class = "fu" > < a href = "https://rdrr.io/r/base/c.html" class = "external-link" > c< / a > < / span > < span class = "op" > (< / span > < span class = "st" > "mpg"< / span > , < span class = "st" > "cyl"< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "op" > )< / span > < / span > < / span >
2025-04-11 11:41:33 +00:00
< span class = "r-wrn co" > < span class = "r-pr" > #> < / span > < span class = "warning" > Warning: < / span > the response appeared on the right-hand side and was dropped< / span >
< span class = "r-wrn co" > < span class = "r-pr" > #> < / span > < span class = "warning" > Warning: < / span > problem with term 1 in model.matrix: no columns are assigned< / span >
2025-03-24 14:16:25 +00:00
< span class = "r-in" > < span > < span class = "fu" > broom< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://generics.r-lib.org/reference/tidy.html" class = "external-link" > tidy< / a > < / span > < span class = "op" > (< / span > < span class = "va" > m< / span > < span class = "op" > )< / span > < / span > < / span >
2025-02-19 12:39:19 +00:00
< span class = "r-out co" > < span class = "r-pr" > #> < / span > < span style = "color: #949494;" > # A tibble: 3 × < / span > < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > term estimate std.error statistic p.value< / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > < span style = "color: #949494; font-style: italic;" > < chr> < / span > < span style = "color: #949494; font-style: italic;" > < dbl> < / span > < span style = "color: #949494; font-style: italic;" > < dbl> < / span > < span style = "color: #949494; font-style: italic;" > < dbl> < / span > < span style = "color: #949494; font-style: italic;" > < dbl> < / span > < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > < span style = "color: #BCBCBC;" > 1< / span > (Intercept) 26.7 0.972 27.4 2.69< span style = "color: #949494;" > e< / span > < span style = "color: #BB0000;" > -22< / span > < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > < span style = "color: #BCBCBC;" > 2< / span > cyl6 -< span style = "color: #BB0000;" > 6.92< / span > 1.56 -< span style = "color: #BB0000;" > 4.44< / span > 1.19< span style = "color: #949494;" > e< / span > < span style = "color: #BB0000;" > - 4< / span > < / span >
< span class = "r-out co" > < span class = "r-pr" > #> < / span > < span style = "color: #BCBCBC;" > 3< / span > cyl8 -< span style = "color: #BB0000;" > 11.6< / span > 1.30 -< span style = "color: #BB0000;" > 8.90< / span > 8.57< span style = "color: #949494;" > e< / span > < span style = "color: #BB0000;" > -10< / span > < / span >
< span class = "r-in" > < span > < span class = "kw" > if< / span > < span class = "op" > (< / span > < span class = "cn" > FALSE< / span > < span class = "op" > )< / span > < span class = "op" > {< / span > < span class = "co" > # \dontrun{< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > regression_model_uv< / span > < span class = "op" > (< / span > outcome.str < span class = "op" > =< / span > < span class = "st" > "age"< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > regression_model_uv< / span > < span class = "op" > (< / span > < / span > < / span >
< span class = "r-in" > < span > outcome.str < span class = "op" > =< / span > < span class = "st" > "age"< / span > ,< / span > < / span >
< span class = "r-in" > < span > fun < span class = "op" > =< / span > < span class = "st" > "stats::lm"< / span > ,< / span > < / span >
< span class = "r-in" > < span > args.list < span class = "op" > =< / span > < span class = "cn" > NULL< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "va" > m< / span > < span class = "op" > < -< / span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > |> < / span > < span class = "fu" > regression_model_uv< / span > < span class = "op" > (< / span > < / span > < / span >
< span class = "r-in" > < span > outcome.str < span class = "op" > =< / span > < span class = "st" > "trt"< / span > ,< / span > < / span >
< span class = "r-in" > < span > fun < span class = "op" > =< / span > < span class = "st" > "stats::glm"< / span > ,< / span > < / span >
< span class = "r-in" > < span > args.list < span class = "op" > =< / span > < span class = "fu" > < a href = "https://rdrr.io/r/base/list.html" class = "external-link" > list< / a > < / span > < span class = "op" > (< / span > family < span class = "op" > =< / span > < span class = "fu" > stats< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://rdrr.io/r/stats/family.html" class = "external-link" > binomial< / a > < / span > < span class = "op" > (< / span > link < span class = "op" > =< / span > < span class = "st" > "logit"< / span > < span class = "op" > )< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "op" > )< / span > < / span > < / span >
2025-03-24 14:16:25 +00:00
< span class = "r-in" > < span > < span class = "fu" > < a href = "https://rdrr.io/r/base/lapply.html" class = "external-link" > lapply< / a > < / span > < span class = "op" > (< / span > < span class = "va" > m< / span > , < span class = "fu" > broom< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://generics.r-lib.org/reference/tidy.html" class = "external-link" > tidy< / a > < / span > < span class = "op" > )< / span > < span class = "op" > |> < / span > < span class = "fu" > dplyr< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://dplyr.tidyverse.org/reference/bind_rows.html" class = "external-link" > bind_rows< / a > < / span > < span class = "op" > (< / span > < span class = "op" > )< / span > < / span > < / span >
2025-02-19 12:39:19 +00:00
< span class = "r-in" > < span > < span class = "op" > }< / span > < span class = "co" > # }< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "kw" > if< / span > < span class = "op" > (< / span > < span class = "cn" > FALSE< / span > < span class = "op" > )< / span > < span class = "op" > {< / span > < span class = "co" > # \dontrun{< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > regression_model< / span > < span class = "op" > (< / span > < / span > < / span >
< span class = "r-in" > < span > outcome.str < span class = "op" > =< / span > < span class = "st" > "age"< / span > ,< / span > < / span >
< span class = "r-in" > < span > fun < span class = "op" > =< / span > < span class = "st" > "stats::lm"< / span > ,< / span > < / span >
< span class = "r-in" > < span > formula.str < span class = "op" > =< / span > < span class = "st" > "{outcome.str}~."< / span > ,< / span > < / span >
< span class = "r-in" > < span > args.list < span class = "op" > =< / span > < span class = "cn" > NULL< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "va" > ls< / span > < span class = "op" > < -< / span > < span class = "fu" > regression_model_list< / span > < span class = "op" > (< / span > data < span class = "op" > =< / span > < span class = "fu" > < a href = "default_parsing.html" > default_parsing< / a > < / span > < span class = "op" > (< / span > < span class = "va" > mtcars< / span > < span class = "op" > )< / span > , outcome.str < span class = "op" > =< / span > < span class = "st" > "cyl"< / span > , fun.descr < span class = "op" > =< / span > < span class = "st" > "Ordinal logistic regression model"< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > < a href = "https://rdrr.io/r/base/summary.html" class = "external-link" > summary< / a > < / span > < span class = "op" > (< / span > < span class = "va" > ls< / span > < span class = "op" > $< / span > < span class = "va" > model< / span > < span class = "op" > )< / span > < / span > < / span >
2025-04-09 10:50:41 +00:00
< span class = "r-in" > < span > < span class = "va" > ls< / span > < span class = "op" > < -< / span > < span class = "fu" > regression_model_list< / span > < span class = "op" > (< / span > data < span class = "op" > =< / span > < span class = "fu" > < a href = "default_parsing.html" > default_parsing< / a > < / span > < span class = "op" > (< / span > < span class = "va" > mtcars< / span > < span class = "op" > )< / span > , outcome.str < span class = "op" > =< / span > < span class = "st" > "mpg"< / span > , fun.descr < span class = "op" > =< / span > < span class = "st" > "Linear regression model"< / span > < span class = "op" > )< / span > < / span > < / span >
2025-02-19 12:39:19 +00:00
< span class = "r-in" > < span > < / span > < / span >
< span class = "r-in" > < span > < span class = "va" > ls< / span > < span class = "op" > < -< / span > < span class = "fu" > regression_model_list< / span > < span class = "op" > (< / span > data < span class = "op" > =< / span > < span class = "fu" > < a href = "default_parsing.html" > default_parsing< / a > < / span > < span class = "op" > (< / span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > )< / span > , outcome.str < span class = "op" > =< / span > < span class = "st" > "trt"< / span > , fun.descr < span class = "op" > =< / span > < span class = "st" > "Logistic regression model"< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "va" > tbl< / span > < span class = "op" > < -< / span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/tbl_regression.html" class = "external-link" > tbl_regression< / a > < / span > < span class = "op" > (< / span > < span class = "va" > ls< / span > < span class = "op" > $< / span > < span class = "va" > model< / span > , exponentiate < span class = "op" > =< / span > < span class = "cn" > TRUE< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "va" > m< / span > < span class = "op" > < -< / span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > < a href = "default_parsing.html" > default_parsing< / a > < / span > < span class = "op" > (< / span > < span class = "op" > )< / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > regression_model< / span > < span class = "op" > (< / span > < / span > < / span >
< span class = "r-in" > < span > outcome.str < span class = "op" > =< / span > < span class = "st" > "trt"< / span > ,< / span > < / span >
< span class = "r-in" > < span > fun < span class = "op" > =< / span > < span class = "st" > "stats::glm"< / span > ,< / span > < / span >
< span class = "r-in" > < span > formula.str < span class = "op" > =< / span > < span class = "st" > "{outcome.str}~."< / span > ,< / span > < / span >
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< span class = "r-in" > < span > args.list < span class = "op" > =< / span > < span class = "fu" > < a href = "https://rdrr.io/r/base/list.html" class = "external-link" > list< / a > < / span > < span class = "op" > (< / span > family < span class = "op" > =< / span > < span class = "st" > "binomial"< / span > < span class = "op" > )< / span > < / span > < / span >
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< span class = "r-in" > < span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "va" > tbl2< / span > < span class = "op" > < -< / span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/tbl_regression.html" class = "external-link" > tbl_regression< / a > < / span > < span class = "op" > (< / span > < span class = "va" > m< / span > , exponentiate < span class = "op" > =< / span > < span class = "cn" > TRUE< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > broom< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://generics.r-lib.org/reference/tidy.html" class = "external-link" > tidy< / a > < / span > < span class = "op" > (< / span > < span class = "va" > ls< / span > < span class = "op" > $< / span > < span class = "va" > model< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > broom< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://generics.r-lib.org/reference/tidy.html" class = "external-link" > tidy< / a > < / span > < span class = "op" > (< / span > < span class = "va" > m< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "op" > }< / span > < span class = "co" > # }< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "kw" > if< / span > < span class = "op" > (< / span > < span class = "cn" > FALSE< / span > < span class = "op" > )< / span > < span class = "op" > {< / span > < span class = "co" > # \dontrun{< / span > < / span > < / span >
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< span class = "r-in" > < span > < span class = "fu" > gtsummary< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class = "external-link" > trial< / a > < / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > regression_model_uv< / span > < span class = "op" > (< / span > < / span > < / span >
< span class = "r-in" > < span > outcome.str < span class = "op" > =< / span > < span class = "st" > "trt"< / span > ,< / span > < / span >
< span class = "r-in" > < span > fun < span class = "op" > =< / span > < span class = "st" > "stats::glm"< / span > ,< / span > < / span >
< span class = "r-in" > < span > args.list < span class = "op" > =< / span > < span class = "fu" > < a href = "https://rdrr.io/r/base/list.html" class = "external-link" > list< / a > < / span > < span class = "op" > (< / span > family < span class = "op" > =< / span > < span class = "fu" > stats< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://rdrr.io/r/stats/family.html" class = "external-link" > binomial< / a > < / span > < span class = "op" > (< / span > link < span class = "op" > =< / span > < span class = "st" > "logit"< / span > < span class = "op" > )< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "op" > )< / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > < a href = "https://rdrr.io/r/base/lapply.html" class = "external-link" > lapply< / a > < / span > < span class = "op" > (< / span > < span class = "fu" > broom< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://generics.r-lib.org/reference/tidy.html" class = "external-link" > tidy< / a > < / span > < span class = "op" > )< / span > < span class = "op" > |> < / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "fu" > dplyr< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://dplyr.tidyverse.org/reference/bind_rows.html" class = "external-link" > bind_rows< / a > < / span > < span class = "op" > (< / span > < span class = "op" > )< / span > < / span > < / span >
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< span class = "r-in" > < span > < span class = "va" > ms< / span > < span class = "op" > < -< / span > < span class = "fu" > regression_model_uv_list< / span > < span class = "op" > (< / span > data < span class = "op" > =< / span > < span class = "fu" > < a href = "default_parsing.html" > default_parsing< / a > < / span > < span class = "op" > (< / span > < span class = "va" > mtcars< / span > < span class = "op" > )< / span > , outcome.str < span class = "op" > =< / span > < span class = "st" > "mpg"< / span > , fun.descr < span class = "op" > =< / span > < span class = "st" > "Linear regression model"< / span > < span class = "op" > )< / span > < / span > < / span >
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< span class = "r-in" > < span > < span class = "va" > ms< / span > < span class = "op" > $< / span > < span class = "va" > code< / span > < / span > < / span >
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< span class = "r-in" > < span > < span class = "va" > ls< / span > < span class = "op" > < -< / span > < span class = "fu" > regression_model_uv_list< / span > < span class = "op" > (< / span > data < span class = "op" > =< / span > < span class = "fu" > < a href = "default_parsing.html" > default_parsing< / a > < / span > < span class = "op" > (< / span > < span class = "va" > mtcars< / span > < span class = "op" > )< / span > , outcome.str < span class = "op" > =< / span > < span class = "st" > "am"< / span > , fun.descr < span class = "op" > =< / span > < span class = "st" > "Logistic regression model"< / span > < span class = "op" > )< / span > < / span > < / span >
< span class = "r-in" > < span > < span class = "va" > ls< / span > < span class = "op" > $< / span > < span class = "va" > code< / span > < / span > < / span >
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< span class = "r-in" > < span > < span class = "fu" > < a href = "https://rdrr.io/r/base/lapply.html" class = "external-link" > lapply< / a > < / span > < span class = "op" > (< / span > < span class = "va" > ms< / span > < span class = "op" > $< / span > < span class = "va" > model< / span > , < span class = "fu" > broom< / span > < span class = "fu" > ::< / span > < span class = "va" > < a href = "https://generics.r-lib.org/reference/tidy.html" class = "external-link" > tidy< / a > < / span > < span class = "op" > )< / span > < span class = "op" > |> < / span > < span class = "fu" > dplyr< / span > < span class = "fu" > ::< / span > < span class = "fu" > < a href = "https://dplyr.tidyverse.org/reference/bind_rows.html" class = "external-link" > bind_rows< / a > < / span > < span class = "op" > (< / span > < span class = "op" > )< / span > < / span > < / span >
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< span class = "r-in" > < span > < span class = "op" > }< / span > < span class = "co" > # }< / span > < / span > < / span >
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< / code > < / pre > < / div >
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< / main > < aside class = "col-md-3" > < nav id = "toc" aria-label = "Table of contents" > < h2 > On this page< / h2 >
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< footer > < div class = "pkgdown-footer-left" >
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< p > Site built with < a href = "https://pkgdown.r-lib.org/" class = "external-link" > pkgdown< / a > 2.1.3.< / p >
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< div class = "pkgdown-footer-right" >
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< p > Developed by Andreas Gammelgaard Damsbo. Provided without < strong > any warranty< / strong > .< / p >
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