View source: R/elaborator_boxplot.R
elaborator_boxplot | R Documentation |
Boxplot function used in app elaborator
elaborator_boxplot(
elab_data,
draw_points_logical,
same_axes_per_treatment_logical,
boxplot_color,
boxplot_border_color,
lines_data,
number_plots,
tol_percentage,
test_results_logical,
length_visit2_is_one_logical,
sort_points,
incProgress,
outliers_logical,
col_lines_options,
custom_visit
)
elab_data |
nested elaborator data with possibly up to three nests 'raw', 'test' and 'differences' grouped by treatment and labparameter |
draw_points_logical |
a logical (TRUE/FALSE) if points should be drawn |
same_axes_per_treatment_logical |
a logical (TRUE/FALSE) if same axes should be used within lab parameters |
boxplot_color |
vector with color(s) for boxplots |
boxplot_border_color |
vector with color(s) for boxplots border (used to incidate which visits are used for statistical tests) |
lines_data |
data frame with connection lines between subjects lab values |
number_plots |
number of plots (used in progress bar (if incProgress is TRUE)) |
tol_percentage |
tolerated percentage value |
test_results_logical |
a logical (TRUE/FALSE) if statistical test is used |
length_visit2_is_one_logical |
a logical (TRUE/FALSE) if statistical test is performed between one or more visits (this will influence the appearence of the background) |
incProgress |
a logical (TRUE/FALSE) indicates if shiny progress bar is used |
col_lines_options |
option how the lines between visits should be colorized. Possible options are "first_last","each_visit", "custom_visits" or "all_grey". In the first three options decrease is colorized blue and an increase orange. |
custom_visit |
if col_lines_options is "custom_visits" then two visits need to be selected. Otherwise all lines are grey. |
No return value. Boxplots are generated, used in elaborator.
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