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cwhmisc (version 6.0)

FinneyCorr: Finney's correction to log normally distributed data, r-squared and standard deviation of a linear model.

Description

FinneyCorr: Finney's correction factor K in x = e^(ln x) * K (see Note), to be used if ln x is normally distributed with standard deviation s_ln x.

Usage

FinneyCorr(s,n) FC.lm(lmobj) R2.lm(lmobj) s.lm(lmobj) summaryFs(lmobj)

Arguments

s
Standard deviation s_ln of log data, in note.
n
Number of data points.
lmobj
Result of an lm(log(y) ~ .)

Value

FinneyCorr Finney's correction from standard deviation and degrees of freedom. FC.lm Finney's correction from lmobj. R2.lm R-squared from lmobj . s.lm Comprehensive output from lmobj.

References

Finney D.J., 1941. On the distribution of a variable whose logarithm is normally distributed. J. R. Stat. Soc., B 7: 155-161

Examples

Run this code
FinneyCorr(0.346274,24+3)  #  1.059306936

ok <- RNGkind()
RNGkind(kind = "default", normal.kind = "default")
set.seed(2009, kind = "default")
x <- rnorm(1000); y <- 0.1*rnorm(1000)
## Reset:
RNGkind(ok[1])

lmo <- lm(y ~ x)
FC.lm(lmo)  # 1.00472
R2.lm(lmo)  # 6.1926e-05
s.lm(lmo)   # 0.0970954

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