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In the Coursera course, an Introduction to R Programming, this skill was tested. They gave all the students 332 separate csv files and asked them to programmatically combined several of the files to calculate the mean value of the pollutant.
In R, I'm writing a for-loop that will iteratively create variable names and then assign values to each variable. Here is a simplified version. The intention is to create the variable's name based on the value of iterating variable i, then fill the new variable with NA values.
@John The point of the for loop is that d gets overwritten each time, once for each unique value of x_1. Since C100 is the last value, when the for loop is finished d will be in it's final state. – Gregor Thomas
Stack grids from the same location into one file, with the function stack (raster package) Here the for loop code with the use of a data frame: 1. Add stacked rasters per location into a list. raslist <- list(LOC1,LOC2,LOC3,LOC4,LOC5) 2. Create an empty dataframe, this will be the output file.
Make up some simple loop function and feed it bad data. Then apply to your current loop, which after all contains a very simple set of commands. – Carl Witthoft
variable in R for loop. 0. How to use a for-loop within a for-loop in R. 0. Double for loop in R. 12.
R: Set loop index from within the loop. 1. Skip iteration and return NA in nested for loop in R. 0. If ...
I have been wondering if anybody knows a way to create a loop that loads files/databases in R. Say i have some files like that: data1.csv, data2.csv,..., data100.csv. In some programming languages you one can do something like this data +{ x }+ .csv the system recognizes it like datax.csv, and then you can apply the loop.
One possible fix. As for what to do to fix it. Take the variable as the argument, and pass it back as the update. Something like this: new.x <- old.x + 1. print(new.x) return(new.x) You would want to store the return value, so your updated code would look like: new.x <- old.x + 1.
However, although it's not wrong, usage of for loops it is not very R'ish. You should read about vectorized functions and the apply family. So your code could be easily rewritten as: dflist[[i]] <- data.frame( A = rnorm(100), B = rnorm(100), C = rnorm(100) ) Thanks - I feared my mean () example would be too simple.