Description Usage Arguments Details Value
View source: R/boxplot_functions.R
Create a plot with grouped boxplot with standadize IMPACT style
1 2 3 | grouped_boxplot_impact(.data, x, subset.x, name.y, median, whisker_min,
whisker_max, first_quantile, third_quantile, outlier_min = NULL,
outlier_max = NULL, sens.boxplot = "vertical")
|
outlier_min |
(optional): element of .data containing the most extreme value beyond the lower whisper. |
outlier_max |
(optional): element of .data containing the most extreme value beyond the upper whisper. |
sens.boxplot |
(optional): if sens.boxplot = "vertical" (default) boxplots are build with vertical cartesian coordinates. If sens.boxplot="horizontal" flip cartesian coordinates so that vertical becomes horizontal |
.data: |
data that contains the statistical result to build boxplots |
x: |
element of .data that contains the different values of the categorical data |
subset.x: |
element containing all the subset categories of x. |
name.y: |
name of value calculated |
median: |
element of .data containing the median values |
first_quantile: |
element of .data containing lower hinges correspond to the first quartile |
third_quantile: |
element of .data containing upper hinges correspond to the third quartile |
whisker_min: |
element of .data containing the value of the lower whisher. Usually calculated as 1.5*IQR smallest value from the hinge |
whisker_max: |
element of .data containing the value of the upper whisher. Usually calculated as 1.5*IQR largest value from the hinge |
Create a plot with one or multiple boxplot standardize with IMPACT colors, fonts, ... for the same numerical variable
a ggplot object containing grouped boxplots
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