qqt {limma} | R Documentation |
Plots the quantiles of a data sample against the theoretical quantiles of a Student's t distribution.
qqt(y, df = Inf, ylim = range(y), main = "Student's t Q-Q Plot", xlab = "Theoretical Quantiles", ylab = "Sample Quantiles", plot.it = TRUE, ...)
y |
a numeric vector or array containing the data sample |
df |
degrees of freedom for the t-distribution. The default df=Inf represents the normal distribution. |
ylim |
plotting range for y |
main |
main title for the plot |
xlab |
x-axis title for the plot |
ylab |
y-axis title for the plot |
plot.it |
whether or not to produce a plot |
... |
other arguments to be passed to plot |
This function is analogous to qqnorm
for normal probability plots.
In fact qqt(y,df=Inf)
is identical to qqnorm(y)
in all respects except the default title on the plot.
A list is invisibly returned containing the values plotted in the QQ-plot:
x |
theoretical quantiles of the t-distribution |
y |
the data sample, same as input y |
Gordon Smyth
# See also the lmFit examples y <- rt(50,df=4) qqt(y,df=4) abline(0,1)