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< img src = "../logo.png" class = "logo" alt = "" > < h1 > On visuals< / h1 >
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< small class = "dont-index" > Source: < a href = "https://github.com/agdamsbo/FreesearchR/blob/main/vignettes/visuals.Rmd" class = "external-link" > < code > vignettes/visuals.Rmd< / code > < / a > < / small >
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< div class = "d-none name" > < code > visuals.Rmd< / code > < / div >
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< div class = "sourceCode" id = "cb1" > < pre class = "downlit sourceCode r" >
< code class = "sourceCode R" > < span > < span class = "kw" > < a href = "https://rdrr.io/r/base/library.html" class = "external-link" > library< / a > < / span > < span class = "op" > (< / span > < span class = "va" > < a href = "https://github.com/agdamsbo/FreesearchR" class = "external-link" > FreesearchR< / a > < / span > < span class = "op" > )< / span > < / span >
< span > < span class = "co" > #> < / span > < / span >
< span > < span class = "co" > #> Attaching package: 'FreesearchR'< / span > < / span >
< span > < span class = "co" > #> The following object is masked from 'package:base':< / span > < / span >
< span > < span class = "co" > #> < / span > < / span >
< span > < span class = "co" > #> sort_by< / span > < / span > < / code > < / pre > < / div >
< div class = "section level2" >
< h2 id = "basic-visualisations" > Basic visualisations< a class = "anchor" aria-label = "anchor" href = "#basic-visualisations" > < / a >
< / h2 >
< p > The goal of < strong > < em > FreesearchR< / em > < / strong > is to keep things
simple. Visuals can get very complicated. We provide a selection of
plots, that helps visualise typical clinical and will be enough for most
use cases, and for publishing to most journals.< / p >
< p > If you want to go further, have a look at these sites with
suggestions and sample code for data plotting:< / p >
< ul >
< li > < p > < a href = "https://r-charts.com/" class = "external-link" > < em > R< / em > Charts< / a > : Extensive
gallery with great plots< / p > < / li >
< li > < p > < a href = "https://r-graph-gallery.com/" class = "external-link" > < em > R< / em > Graph
gallery< / a > : Another gallery with great graphs< / p > < / li >
< li > < p > < a href = "https://graphicsprinciples.github.io/" class = "external-link" > graphics
principles< / a > : Easy to follow recommendations for clear
visuals.< / p > < / li >
< / ul >
< div class = "section level3" >
< h3 id = "available-plots" > Available plots< a class = "anchor" aria-label = "anchor" href = "#available-plots" > < / a >
< / h3 >
< p > Below are the available plot types listed.< / p >
< table class = "table" >
< colgroup >
< col width = "7%" >
< col width = "14%" >
< col width = "77%" >
< / colgroup >
< thead > < tr class = "header" >
< th align = "left" > Data type< / th >
< th align = "left" > Plot type< / th >
< th align = "left" > Description< / th >
< / tr > < / thead >
< tbody >
< tr class = "odd" >
< td align = "left" > continuous< / td >
< td align = "left" > Violin plot< / td >
< td align = "left" > A modern alternative to the classic boxplot to
visualise data distribution< / td >
< / tr >
< tr class = "even" >
< td align = "left" > continuous< / td >
< td align = "left" > Scatter plot< / td >
< td align = "left" > A classic way of showing the association between to
variables< / td >
< / tr >
< tr class = "odd" >
< td align = "left" > continuous< / td >
< td align = "left" > Box plot< / td >
< td align = "left" > A classic way to plot data distribution by groups< / td >
< / tr >
< tr class = "even" >
< td align = "left" > dichotomous< / td >
< td align = "left" > Stacked horizontal bars< / td >
< td align = "left" > A classical way of visualising the distribution of an
ordinal scale like the modified Ranking Scale and known as Grotta
bars< / td >
< / tr >
< tr class = "odd" >
< td align = "left" > dichotomous< / td >
< td align = "left" > Violin plot< / td >
< td align = "left" > A modern alternative to the classic boxplot to
visualise data distribution< / td >
< / tr >
< tr class = "even" >
< td align = "left" > dichotomous< / td >
< td align = "left" > Sankey plot< / td >
< td align = "left" > A way of visualising change between groups< / td >
< / tr >
< tr class = "odd" >
< td align = "left" > dichotomous< / td >
< td align = "left" > Box plot< / td >
< td align = "left" > A classic way to plot data distribution by groups< / td >
< / tr >
< tr class = "even" >
< td align = "left" > dichotomous< / td >
< td align = "left" > Euler diagram< / td >
< td align = "left" > Generate area-proportional Euler diagrams to display
set relationships< / td >
< / tr >
< tr class = "odd" >
< td align = "left" > categorical< / td >
< td align = "left" > Stacked horizontal bars< / td >
< td align = "left" > A classical way of visualising the distribution of an
ordinal scale like the modified Ranking Scale and known as Grotta
bars< / td >
< / tr >
< tr class = "even" >
< td align = "left" > categorical< / td >
< td align = "left" > Violin plot< / td >
< td align = "left" > A modern alternative to the classic boxplot to
visualise data distribution< / td >
< / tr >
< tr class = "odd" >
< td align = "left" > categorical< / td >
< td align = "left" > Sankey plot< / td >
< td align = "left" > A way of visualising change between groups< / td >
< / tr >
< tr class = "even" >
< td align = "left" > categorical< / td >
< td align = "left" > Box plot< / td >
< td align = "left" > A classic way to plot data distribution by groups< / td >
< / tr >
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< tr class = "odd" >
< td align = "left" > categorical< / td >
< td align = "left" > Euler diagram< / td >
< td align = "left" > Generate area-proportional Euler diagrams to display
set relationships< / td >
< / tr >
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