| histplot {Phenotype} | R Documentation |
histplot
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 <pengzhao@nwafu.edu.cn>
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)