View source: R/np_plotting_functions.R
| drawBoxPlot | R Documentation |
takes a date frame with columns labeled 'at', 'q1', 'q3', 'min', 'max', 'median' and 'width' to draw a series of boxplots.
drawBoxPlot(
x,
col = "black",
fill = NULL,
drawBox = T,
drawDot = F,
whiskerLty = 2,
side = FALSE,
lWidth = 1,
capWidth = 0.25,
capType = "bar"
)
x |
named list or data frame; |
col |
character; color vector that controls the line color. |
fill |
character; color vector that determines the interior color of the box. |
drawBox |
logical; draws the box and whiskers if set to |
drawDot |
logical; draws a circle at the center of the median bar if set to |
whiskerLty |
positive integer; sets the line type or |
side |
logical; if set to |
lWidth |
positive integer; corresponds to lwd line width setting in base R. |
capWidth |
numeric; size of the error bar cap relative to the box width. |
capType |
character; should be equal to |
The input data frame x should include columns labels named 'at','q1',and 'q3', 'median', 'min', 'max' and 'width' in any order.
Each row will draw a box and whisker plot. The columns 'q1' and 'q3' refer to the 25% and 75% cumulative distribution values that bound the interquartile range.
If side=TRUE then the x and y axises are swapped to support horizontal plotting. The box and whiskers can be suppressed leaving only the median line and the optional center marker if so desired.
boxplot, niceBox
data(iris)
library(dplyr)
iData<-iris %>% group_by(Species) %>%
summarize(median=median(Sepal.Length),min=min(Sepal.Length),max=max(Sepal.Length),
q1=quantile(Sepal.Length)[2],q3=quantile(Sepal.Length)[4]) %>%
bind_cols(at=c(1:3),width=c(.2,.3,.4))
plot(1,1,type="n",xlim=c(0,4),ylim=c(0,9))
#\donttest{drawBoxPlot(iData)}
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