histplot: histplot

In Phenotype: A Tool for Phenotypic Data Processing

Description

Histogram drawing

Usage

histplot(
  x,
  color = "#99d6e1",
  rug_color = "#f79999",
  freq = FALSE,
  lwd = 2,
  rug_lwd = 1,
  main = "",
  xlab = "",
  ylab = "",
  cex.main = 1.5,
  cex.lab = 1.5,
  cex.axis = 1.5,
  breaks = "Sturges",
  ylim = NULL,
  xpos = 0.03,
  ypos = 0,
  cex.text = 1.2
)

Arguments

x	Input phenotype data.
color	The color of histogram.
rug_color	The color of rug under the histogram.
freq	If FALSE, the histogram graphic is a representation of frequencies; if TRUE, the histogram graphic is a representation of probability densitie. (Default: FALSE)
lwd	The line width of histogram. (Default: 2)
rug_lwd	The line width of rug under the histogram. (Default: 1)
main	The title of plot.
xlab	The X axis labels.
ylab	The Y axis labels
cex.main	The magnification to be used for title. (Default: 1.5)
cex.lab	The magnification to be used for axis labels. (Default: 1.5)
cex.axis	The magnification to be used for axis annotation. (Default: 1.5)
breaks	The number of bars in the histogram.
ylim	Y axis ranges.
xpos	The horizontal position of the pvalue label. (Default: 0.03)
ypos	The vertical position of the pvalue label. (Default: 0)
cex.text	The magnification to be used for pvalue labels. (Default: 1.2)

Value

Histogram and p-value of Shapiro-Wilk Normality Test.

Author(s)

Peng Zhao <[e-mail]>

Examples

data("wheatds")
inlier <- outlier(wheatds, sample = "Line", loc = "Env", rep = "Rep", phe = "DS", mode = "blup")
stat_out <- stat(x = inlier, sample = "Sample", phe = "inlier")
histplot(x = stat_out$mean)

Phenotype documentation built on Aug. 6, 2020, 5:10 p.m.