# R loop and sampling

Hi I am pretty new to R but having a bit of trouble getting my head round this. I am trying to create a sample set of data based of an existing set I have. currently I am getting probabilities of existing values and then using sample() function and the probabilities and unique values in the dataset. I want to create a for loop that will loop through the the different columns run my code to sample the data and then produce a new dataframe with the generated data. Can't workout how to make the loop run for each column and then create the sample data into a new dataframe. Also apologies if my code is a bit messy i'm new!

``````for (i in colnames(ED_test3)) {
sample(
c(sort(unique(ED_test2[[i]]))),
n,replace = TRUE,
prob = (prop.table(table(ED_test2[[i]]))))
}
``````

Hi,

Welcome to the RStudio community!

Here is a way of doing that using an the lapply function. It will iterate over every column in your data and output a list, which can then be pasted back together into a data frame

``````set.seed(3) #Only needed for reproducibility

#Test data
myData = data.frame(x = sample(1:3, 5, replace = T),
y = sample(LETTERS[1:3], 5, replace = T))
myData
#>   x y
#> 1 1 C
#> 2 2 B
#> 3 3 C
#> 4 2 A
#> 5 3 B

#Create new data
nNew = 10
newData = lapply(myData, function(x){

#Get the freq of each value
freq = table(x)

#Sample new values
sample(sort(unique(x)), nNew, prob = freq / sum(freq), replace = T)

})

#Create data frame from each sampling
newData = as.data.frame(newData)
newData
#>    x y
#> 1  2 C
#> 2  2 B
#> 3  2 B
#> 4  2 B
#> 5  2 C
#> 6  2 B
#> 7  3 B
#> 8  3 A
#> 9  1 B
#> 10 3 C
``````

Created on 2022-03-28 by the reprex package (v2.0.1)

Note that sample() is useful when you have discrete values, but for continuous values you should use other functions.

Hope this helps,
PJ

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