WebOct 24, 2016 · application<-data.frame (var=c ("V3","V3","V4"), transform=c (0.5,0.9,0.5)) The code I want to end up with from this function is as follows: Creating new variables … WebDec 9, 2024 · I have very simple problem. Let's suppose I have data table: dt = data.table(a = rnorm(10), b = rnrom(10)) I wanted to create a new variable in dt like c = b * 2. But I wanted to take both variable name b and c from other variables stored in string. Example. newvar = "c" var = "b" I can easily do this without using data table like this:
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WebIn the CT data.frame, I would like to insert a new variable, called "countID", which would indicate the number of occurrences of these specific patients (multiple records should still appear several times). I tried two different strategies after reading this forum: 1st strategy: CT <- cbind (CT, countID=sequence (rle (CT.long$ID)$lengths) WebJan 27, 2024 · Creating a new variable in a dataset occurs within a data step. The general format is like an equation, with the name of the new variable on the left, and the "formula" for creating that new variable on the right. This "formula" approach to creating variables gives you some flexibility. inch women
Loop through data.table and create new columns basis some condition
WebMay 3, 2024 · The Start variable has to be converted to POSIXct: require (dplyr) data [, Start:= (ifelse (Number=="1",BuyDate,ifelse (is.na (SellDate),BuyDate,SellDate)) %>% as.POSIXct (origin = "1970-01-01"))] ADDED: Following codes run with dplyr. I am not sure why dplyr won't work with the example above. Webdata.table (by Matt Dowle, Arun Srinivasan et. al.) is a package written in C to make high-performance data wrangling tasks a breeze. Despite being incredibly powerful, it is dependency free and has a rock-solid API. data.table code reliably works decades apart. Installation Before continuing, make sure that you have installed data.table. WebApr 16, 2024 · To get separate SUM () results based on another variable's value you need to use a CASE statement, not include it in the grouping variables. proc sql; create table want as select firm, year , sum (case when (product='a') then value else . end) as sum_product_A , sum (case when (product='b') then value else . end) as sum_product_B … inch with fingers