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dont stop on warning!

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Andreas Gammelgaard Damsbo 2025-03-20 11:45:37 +01:00
parent c69baaaac1
commit d664adc500
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1 changed files with 27 additions and 25 deletions
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52
R/data_plots.R
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@ -310,9 +310,9 @@ data_visuals_server <- function(id,
z = input$tertiary
)
},
warning = function(warn) {
showNotification(paste0(warn), type = "warning")
},
# warning = function(warn) {
# showNotification(paste0(warn), type = "warning")
# },
error = function(err) {
showNotification(paste0(err), type = "err")
}
@ -378,9 +378,9 @@ all_but <- function(data, ...) {
#'
#' @examples
#' default_parsing(mtcars) |> subset_types("ordinal")
#' default_parsing(mtcars) |> subset_types(c("dichotomous", "ordinal"))
#' default_parsing(mtcars) |> subset_types(c("dichotomous", "ordinal" ,"categorical"))
#' #' default_parsing(mtcars) |> subset_types("factor",class)
subset_types <- function(data, types, type.fun = outcome_type) {
subset_types <- function(data, types, type.fun = data_type) {
data[sapply(data, type.fun) %in% types]
}
@ -413,58 +413,58 @@ supported_plots <- function() {
fun = "plot_hbars",
descr = "Stacked horizontal bars",
note = "A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars",
primary.type = c("dichotomous", "ordinal"),
secondary.type = c("dichotomous", "ordinal"),
primary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.multi = FALSE,
tertiary.type = c("dichotomous", "ordinal"),
tertiary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.extra = "none"
),
plot_violin = list(
fun = "plot_violin",
descr = "Violin plot",
note = "A modern alternative to the classic boxplot to visualise data distribution",
primary.type = c("continuous", "dichotomous", "ordinal"),
secondary.type = c("dichotomous", "ordinal"),
primary.type = c("continuous", "dichotomous", "ordinal" ,"categorical"),
secondary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.multi = FALSE,
secondary.extra = "none",
tertiary.type = c("dichotomous", "ordinal")
tertiary.type = c("dichotomous", "ordinal" ,"categorical")
),
# plot_ridge = list(
# descr = "Ridge plot",
# note = "An alternative option to visualise data distribution",
# primary.type = "continuous",
# secondary.type = c("dichotomous", "ordinal"),
# tertiary.type = c("dichotomous", "ordinal"),
# secondary.type = c("dichotomous", "ordinal" ,"categorical"),
# tertiary.type = c("dichotomous", "ordinal" ,"categorical"),
# secondary.extra = NULL
# ),
plot_sankey = list(
fun = "plot_sankey",
descr = "Sankey plot",
note = "A way of visualising change between groups",
primary.type = c("dichotomous", "ordinal"),
secondary.type = c("dichotomous", "ordinal"),
primary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.multi = FALSE,
secondary.extra = NULL,
tertiary.type = c("dichotomous", "ordinal")
tertiary.type = c("dichotomous", "ordinal" ,"categorical")
),
plot_scatter = list(
fun = "plot_scatter",
descr = "Scatter plot",
note = "A classic way of showing the association between to variables",
primary.type = "continuous",
secondary.type = c("continuous", "ordinal"),
secondary.type = c("continuous", "ordinal" ,"categorical"),
secondary.multi = FALSE,
tertiary.type = c("dichotomous", "ordinal"),
tertiary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.extra = NULL
),
plot_box = list(
fun = "plot_box",
descr = "Box plot",
note = "A classic way to plot data distribution by groups",
primary.type = c("continuous", "dichotomous", "ordinal"),
secondary.type = c("dichotomous", "ordinal"),
primary.type = c("continuous", "dichotomous", "ordinal" ,"categorical"),
secondary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.multi = FALSE,
tertiary.type = c("dichotomous", "ordinal"),
tertiary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.extra = "none"
),
plot_euler = list(
@ -475,7 +475,7 @@ supported_plots <- function() {
secondary.type = "dichotomous",
secondary.multi = TRUE,
secondary.max = 4,
tertiary.type = c("dichotomous", "ordinal"),
tertiary.type = c("dichotomous", "ordinal" ,"categorical"),
secondary.extra = NULL
)
)
@ -504,7 +504,7 @@ possible_plots <- function(data) {
data <- data[[1]]
}
type <- outcome_type(data)
type <- data_type(data)
if (type == "unknown") {
out <- type
@ -696,7 +696,9 @@ allign_axes <- function(...) {
xr <- clean_common_axis(p, "x")
p |> purrr::map(~ .x + ggplot2::xlim(xr) + ggplot2::ylim(yr))
suppressWarnings({
p |> purrr::map(~ .x + ggplot2::xlim(xr) + ggplot2::ylim(yr))
})
}
#' Extract and clean axis ranges
@ -714,7 +716,7 @@ clean_common_axis <- function(p, axis) {
if (is.numeric(.x)) {
range(.x)
} else {
.x
as.character(.x)
}
})() |>
unique()