WVPlots (version 1.3.7)

PlotDistCountNormal: Plot distribution details as a histogram plus matching normal

Description

Compares empirical data to a normal distribution with the same mean and standard deviation.

Usage

PlotDistCountNormal(
  frm,
  xvar,
  title,
  ...,
  binWidth = c(),
  hist_color = "black",
  normal_color = "blue",
  mean_color = "blue",
  sd_color = "blue"
)

Arguments

frm

data frame to get values from

xvar

name of the independent (input or model) column in frame

title

title to place on plot

...

no unnamed argument, added to force named binding of later arguments.

binWidth

width of histogram bins

hist_color

color of empirical histogram

normal_color

color of matching theoretical normal

mean_color

color of mean line

sd_color

color of 1-standard deviation lines (can be NULL)

Details

Plots the histograms of the empirical distribution and of the matching normal distribution. Also plots the mean and plus/minus one standard deviation.

Bin width for the histogram is calculated automatically to yield approximately 50 bins across the range of the data, unless the binWidth argument is explicitly passed in. binWidth is reported in the subtitle of the plot.

Examples

if (requireNamespace('data.table', quietly = TRUE)) {
	# don't multi-thread during CRAN checks
		data.table::setDTthreads(1)
}

set.seed(52523)
d <- data.frame(wt=100*rnorm(100))
PlotDistCountNormal(d,'wt','example')

# # no sd lines
# PlotDistCountNormal(d, 'wt', 'example', sd_color=NULL)