R will do it for you. [2] "ogrenci burs veya kredisi, Aile destegi", [3] "ogrenci burs veya kredisi, Yari zamanli calisma", [4] "ogrenci burs veya kredisi, Yari zamanli calisma", [7] "ogrenci burs veya kredisi, Aile destegi", [9] "ogrenci burs veya kredisi, Aile destegi", I also tried separate function to divide this coulomb and after that, I apply ifelse function but the results were the same. (i.e. I wanted to do was that to get another column containing these categories as primary,secondary,secondaryT and etc.But it seems not to work. I'm attaching a small .R script that contains an example that I think replicates what you are doing based on what I can tell. I did the normality test using the command. I'm trying to do statistics in R software. I tried to make changes to it but I couldn't manage it. remain. R Markdown: Could you please take some guides about generating pdf files using rmarkdown? View source: R/dummy_cols.R. The question is what are the sources of your income and I let to pick multiple choices among "help from family", "part-time job", "full-time job" and "scholarship". Silver Created on 2019-04-09 by the reprex package (v0.2.1). will match both strings. #Games © 2008-2020 ResearchGate GmbH. How do I convert the data below using dummy variables? Last night I applied a loop. Well, I have already a working function but I'd like to learn more and deepen my knowledge in R. If you please also suggest some sources as well I'd be really happy. if ( SEX=="MALE" & SPORT=="CADET" & Bazett_formula <400) {"Primary"} else if (SEX=="MALE" & SPORT=="CADET" & Bazett_formula >400 ) {"Secondary", } else if ( SEX=="FEMALE" & SPORT=="CADET" & Bazett_formula <400) {. One way of doing this easily is using the caret package, see this example. Który z nich działa na wszystk... Join ResearchGate to find the people and research you need to help your work. ought to return 1 instance of each of your categories; if it returns two or more, you have some recoding to do. Just to defend my proposed solution, I'd like to add that though this is often correct, it doesn't happen always. However, if you have several additional columns, you may have to change the financial independence classification to something that is more generalized; maybe using apply or map_lgl. SIMIL: an r (CRAN) scripts collection for computing genetic structure similarities based on structure 2 outputs, Automatize scoring of AFLP datasets with RawGeno: a free R CRAN library, Metody ilościowe w R. Aplikacje ekonomiczne i finansowe. Or, you want to recode by some other labels, you can use the labels argument of the factor function. Just check the type of variable in R if it is a factor, then there is no need to create dummy variable . But you may be running into an issue with text formatting.

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