mycor {mycor} | R Documentation |
Perform correlation and linear regression for a data.frame automatically
mycor(x, ..., digits) ## Default S3 method: mycor(x, ..., digits = 3) ## S3 method for class 'formula' mycor(formula, data, ..., digits = 3)
x |
A data.frame. |
... |
further arguments to be passed to |
digits |
integer indicating the number of decimal places (round) or significant digits (signif) to be used. |
formula |
a formula of the form ~ u + v, where each of u and v are numeric variables giving the data values for one sample. The samples must be of the same length. |
data |
A data.frame |
mycor |
Object to mycor |
mycor returns as object of class "mycor"
The function summary is used to print a summary of the result. The function
plot is used to plot the results using pairs
and parallelplot
.
An object of class "mycor:" is a list containing at least following components:
a data.frame
logical vectors returns if columns of df is.numeric
a list of class "htest" from cor.test
between the last paired samples in a data.frame.
a matrix consist of r values from cor.test
between all pairs of numeric data from a data.frame
a matrix consist of p values from cor.test
between all pairs of numeric data from a data.frame
a matrix consist of slope values from lm
between all pairs of numeric data from a data.frame
a matrix consist of intercept values from lm
between all pairs of numeric data from a data.frame
default
: for class data.frame
formula
: for class "formula"
out=mycor(iris) plot(out) plot(out, groups=Species) plot(out,type=2,groups=species) plot(out,type=4,groups=species) out1=mycor(~mpg+disp+wt+hp,data=mtcars,alternative="greater",methods="kendall", conf.level=0.95) plot(out1,type=3) plot(out1,type=4,groups=cyl)