userfriendlyscience (version 0.1-2)

convert: convert functions

Description

These are a number of functions to convert statistics and effect size measures from/to each other.

Usage

convert.r.to.t(r, n)
convert.t.to.r(t, n)
convert.t.to.p(t, df)
convert.f.to.p(f, df1, df2, lower.tail=FALSE)
convert.chisq.to.p(chisq, df, lower.tail=FALSE)

Arguments

r, t, f, chisq

THe value of the relevant statistic

n

The number of observations that the r or t value is based on.

df, df1, df2

The degrees of freedrom for that statistic (for F, the first one is the numerator (i.e. the effect), and the second one the denominator (i.e. the error term).

lower.tail

For the F and chisquare distributions, whether to get the probability of the lower or upper tail.

Value

• The converted value as a numeric value.

Examples

convert.t.to.r(t=-6.46, n=200);
convert.r.to.t(r=-.41, n=200);

### Compute some p-values
convert.t.to.p(4.2, 197);
convert.chisq.to.p(5.2, 3);
convert.f.to.p(8.93, 3, 644);