It will help us help you if we can be sure we're all working with/looking at the same stuff. R and string matching by default see "H" and "h" as different characters. Usage To my knowledge, R is creating dummy variables automatically. Do I replace "x" with "Cancer"? This was what i tried. example, if a variable is Pets and the rows are "cat", "dog", and "turtle", Thanks! If TRUE (not default), removes the columns used to generate the dummy columns. 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. What statistical test should I do (in R)? Bronze Total You have a series of answers, one of them being "Help from family." dummy_rows(). I have seen all this online. Can you please provide an expected object for a copy-paste friendly sample dataset? 5.3.1 More Levels. I'm recoding all columns except one particular column. #Summer 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. To my knowledge, R is creating dummy variables automatically. forcats.tidyverse.org Który program nie wymaga najnowszego sprzętu i procesorów 4-rdzeniowych, aby szybko policzyć ekstensywne problemy numeryczne? The total waste collected in tonnage needs to be sent to the 3 facilities is mandatory. If you want to do it in regression then you don't need to do it. I don't know if you want to do this, but it may be a good idea now that you have a working product to simplify your code. I am new to R. Thank you for adding this. str_detect(gelkay,"help from family") ~ 0. Radiation: has 2 levels -----" "no" "yes", Check out fct_recode() in the forcats pacakge: X2 = sample(possible_values,size = 100, replace = TRUE). My problem is trying a unique way to go about it. The condition has length > 1 in ifelse in r? See. However, if the the variable is not factor convert it using as.factor() built-in function, then put the variable in model you will get the co-efficients for each category. If you meant something like coding c("A", "B", "A", "A", "B", "C") as c(1, 2, 1, 1, 2, 3), then you can use the as.integer function. stringr::str_detect(data$gelkay,"[Hh]elp from family"),0,1). One way of doing this easily is using the caret package, see this example. Description remain. Can you please explain what do you mean by this? If there is a tie for most frequent, will remove the first You can also specify which columns to make dummies out of, or which columns to ignore. But the anwsers from the link above work really slow in my case (up to 15 minutes on my Dell i7-2630QM, 8Gb, Win7 64 bit, R 2.15.3 64bit). NA value. Please any suggestions on how to do that? Hello, I have a scale and I am trying to create a dummy variable from one of the socio-demographics. Last night I applied a loop. Before doing that I have to make index of climate change (with only two variables temperature and precipitation). Im running a multiple regression model and therefore need to create dummy variables for a categorical predictor variable. (i.e. Is it only capitalized letters that are affecting your unique values? How do I write such a code? I am using RMarkdown in order to form pdf files but the #tinytex::install_tinytex() doesn't work properly and give me some errors such as below: "Error: LaTeX failed to compile try2.tex. This topic was automatically closed 21 days after the last reply. I am examining the effect of air pollution on climate change. This avoids multicollinearity issues in models. will match both strings. I applied your function but the output was not similar to yours, [1] 1 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0, [21] 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0, [41] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0, [61] 0 0 0 1 0 1 0 0 1 1 1 0 0 0 1 0 0 0 0 1, [81] 0 0 0 0 0 0 1 0 1 0 1 0 1 1 0 1 0 1 1 1, [101] 0 0 0 0 0 0 0 1 0 0 1 0 0 1 1 1 1 1 0 1, [121] 1 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 1 1 1, [141] 1 1 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 0 0 0, [161] 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 1 1 1 1 0, [181] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0.
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