faststats | R Documentation |
These were mainly created because the base stats functions produce overly verbose output without effect sizes included.
zerodiff(x)
twodiff(form, data, paired = FALSE)
twodiff2(x, y, paired = FALSE)
npr.zerodiff(x)
npr.twodiff(form, data)
twocor(x, y, method = "pearson")
x , y |
Vectors to compare or correlate |
form |
A formula where the left size is the values to be compared and the right value is a binary variable defining the groups to compare |
data |
a |
paired |
whether to perform a paired or unpaired test |
method |
The correlation type; can be pearson, spearman, or kendall |
Sercan Kahveci
baseline <- rnorm(50)
deviation <- rnorm(50,m=1)
zerodiff(deviation)
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