standardVisual: Produce distribution plots using ggplot from ggplot2.
In dataReporter: Reproducible Data Screening Checks and Report of Possible Errors

Description Usage Arguments Details See Also Examples

Plot the distribution of a variable, depending on its data class, by use of ggplot2. Note that standardVisual is a visualFunction, compatible with the visualize and makeDataReport functions.

1	standardVisual(v, vnam, doEval = TRUE)

`v`	The variable (vector) to be plotted.
`vnam`	The name of the variable which will appear as the title of the plot.
`doEval`	If TRUE, the plot itself is returned. Otherwise, the function returns a character string containing standalone R code for producing the plot.

For character, factor, logical and (haven_)labelled variables, a barplot is produced. For numeric, integer or Date variables, standardVisual produces a histogram instead. Note that for integer and numeric variables, all non-finite (i.e. NA, NaN, Inf) values are removed prior to plotting. For character, Date, factor, (haven_)labelled and logical variables, only NA values are removed.

visualize, basicVisual

#Save a variable
myVar <- c(1:10) 

#Plot a variable
standardVisual(myVar, "MyVar")

#Produce code for plotting a variable
standardVisual(myVar, "MyVar", doEval = FALSE)