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Write a while loop that prints out standard random normal numbers (use rnorm()) but stops (breaks) if you get a number bigger than 1. Use the following functions print(), paste0() and nchar(). Write a for loop that iterates over the column names of the inbuilt iris dataset and print each together with the number of characters in the column name in parenthesis. Write a for loop that iterates over the numbers 1 to 7 and prints the cube of each number using print().
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Your DATEN variable is then a list with three elements, each of which is named as per the name of the csv file that was read in: length(DATEN)Īs with all lists, you can refer to the individual elements by element number: DATEN]
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#WRITE FOR LOOP IN R CODE#
I have also read in the csv files without using their headers, to keep the code as close to your example as possible. You would have to put the path arguments back in to make the example apply in your own case. Note that I have left out the path components you've listed, as the stated path is specific to your circumstances and not directly reproducible. Now that there are some csv files created these can be read in one step using an anonymous function within sapply, a variant of lapply which I've used to retain the csv file names as the names of the individual list elements. Write.csv(df, paste0("test", i, ".csv"), row.names = FALSE) That way you don't have to create three separate variables in your global environment when there is no need to do so.Īs we don't have access to your data I need to set up some test data for a reproducible example: df = read.table(text = It is simpler if you don't use a for loop but instead use one of the *apply functions to generate a list with all three files within it.