I have an information on age of individuals in classes. My aim is to convert this information in a continuous variable "Age" with equal distribution within each class. How can I do it in R?
Class_age
20-22
20-22
20-22
23-25
23-25
23-25
23-25
23-25
20-22
20-22
This samples uniformly between the minimum and maximum within each group, returning the same number of values as your original dataframe:
df = read.table(file='clipboard', header=TRUE)
library(plyr)
ddply(df, .(Class_age), function(x) {
level = x$Class_age[1]
min_max = as.numeric(strsplit(as.character(level), '-')[[1]])
x$age = runif(nrow(x), min=min_max[1], max=min_max[2])
return(x)
})
Example output:
Class_age age
1 20-22 21.08586
2 20-22 21.78266
3 20-22 21.11404
4 20-22 20.46550
5 20-22 21.01637
6 23-25 24.52937
7 23-25 24.71782
8 23-25 23.26885
9 23-25 23.69933
10 23-25 24.61314
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