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I would like to do an inverse log transformation on R.
I am familiar with regular log transformations:
DF1$RT <- log(DF1$RT)
but I don't know how to do an inverse one.
Can anyone please help?
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inverse function. In this case it refers to solving the equation log (y) = x for y in which case the inverse transformation is exp (x) assuming the log is base e. (In general, the solution is b^x if the log is of base b. For example, if log10 (y) = x then the inverse transformation is 10^x .) Thanks for contributing an answer to Stack Overflow!
Log transformation in R is accomplished by applying the log () function to vector, data-frame or other data set. Before the logarithm is applied, 1 is added to the base value to prevent applying a logarithm to a 0 value.
The inverse of a log or exponential function is given by : An inverse log transformation in the R programming language can be exp (x) and expm1 (x) functions. exp ( ) function simply computes the exponential function, whereas the expm1 ( ) function computes exp (x) – 1 accurately also for |x| << 1.
Looking at the graph, there are a few aspects of the function we notice immediately: These are the effects of log transforming your variables — small values become more spread out, and large values become closer together. Another caveat is that you cannot take the log of a negative number. Also, log (1) =0 and log (e) =1.
The term inverse can be used with different meanings. The meanings are:
reciprocal. In this case the inverse of log(x) is 1/log(x)
inverse function. In this case it refers to solving the equation log(y) = x for y in which case the inverse transformation is exp(x) assuming the log is base e. (In general, the solution is b^x if the log is of base b. For example, if log10(y) = x then the inverse transformation is 10^x.)
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