For example, we can do something to every row of our dataframe. Basically we rename variables by giving the same. With the help of tidyverse package this is a simple task. We have 2 different dataframes with our results and we need to combine in one.
This page illustrated how to save for-loop outputs in data frames in R. Loops are a powerful tool that will let us repeat operations. outcome ame(outvariable, outbeta, outse, outpvalue) exposure ame(expvariable, expbeta, expse, exppvalue) Management of the dataframe. I have published several articles about loops in R already. In addition, you might want to have a look at the other articles on my website. I have recently published a video on my YouTube channel, which illustrates the R syntax of the present post.
Note that we could use the same type of R code within while-loops or repeat-loops.
Here, we are using magicresultasdataframe() in order to get the stored values. Once you call magicfor(), as you just run for() as usual, the result will be stored in memory automatically. Each column contains the output of one iteration of our for-loop. magicfor() takes a function name, and then reconstructs for() to remember values passed to the specified function in for loops. T=data.Data # Printing updated data # Col_1 Col_2 Col_3 Col_4 Col_5 # 1 1 2 3 4 5 # 2 1 2 3 4 5 # 3 1 2 3 4 5Īs you can see based on the previous output of the RStudio console, we have created a data frame consisting of three rows and five numeric columns. Set up for loop function L1 <- seq(1,5,1) # the location ID is a numeric variable with values from 1 to 5ĭat=subset(points,LOCATION=i) # select corresponding points for location Create an empty dataframe, this will be the output file TB <- ame(VAR1=double(),VAR2=double(),ID=character())ģ. Add stacked rasters per location into a list raslist <- list(LOC1,LOC2,LOC3,LOC4,LOC5)Ģ. Here the for loop code with the use of a data frame:ġ.