R documentation case_when
WebMay 25, 2024 · case_when (), which was added to dplyr in May 2016, solves this problem in a manner similar to memisc::cases (). As of dplyr 0.7.0, for example: mtcars %>% mutate (category = case_when ( cyl == 4 & disp < median (disp) ~ "4 cylinders, small displacement", cyl == 8 & disp > median (disp) ~ "8 cylinders, large displacement", TRUE ~ "other" ) ) WebNov 15, 2024 · In this case, the syntax is very simple – it is the same as the syntax for the lm function, but with a small change: when you are entering the formula for the regression, you should first enter your normal variables, type “ ”, and then enter your instrumental variables.
R documentation case_when
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WebA general vectorised if-else. Source: R/case-when.R. This function allows you to vectorise multiple if_else () statements. Each case is evaluated sequentially and the first match for … WebR: Documentation Documentation Document Collections, Journals and Proceedings In addition to the manuals, FAQs, the R Journal and its predecessor R News, the following sites may be of interest to R users: Browsable HTML versions of the manuals, help pages and NEWS for the developing versions of R “ R-patched ” and “ R-devel ”, updated daily.
WebOct 4, 2024 · Add a comment 3 Answers Sorted by: 52 Roxygen can be used anywhere within an R file (in other words, it doesn't have to be followed by a function). It can also be used to document any docType in the R documentation. So you can just document your data in a separate block (something like this): WebFor creating new variables based on logical vectors, use if_else (). For even more complicated criteria, use case_when (). recode () is a vectorised version of switch (): you …
http://a-little-book-of-r-for-biomedical-statistics.readthedocs.io/en/latest/src/biomedicalstats.html WebAug 3, 2024 · The rbind () function in R and the bind_rows () function are the most useful functions when it comes to data manipulation. You can easily bind two data frames of the same column count using rbind () function. In the same way, if the data frames have unequal column counts, you can use the bind_rows () function along with dplyr package.
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WebMay 24, 2024 · case_when(), which was added to dplyr in May 2016, solves this problem in a manner similar to memisc::cases(). As of dplyr 0.7.0, for example: mtcars %>% … green circled employeesWebIf you are using R through the RGui interface, you can do it by selecting it from the list that appears just after you use the install.packages () command. On RStudio, the mirror is already selected by default. flow of genetic information chartWebThis booklet tells you how to use the R software to carry out some simple analyses that are common in biomedical statistics. In particular, the focus is on cohort and case-control studies that aim to test whether particular factors are associated with disease, randomised trials, and meta-analysis. green circle farmsWebAug 14, 2014 · Here is a generic function wrapped from @Konrad Rudolph's code which can be used to generate .Rd files for R scripts under specified folder. For a project using modules package that has "non-standard" folder structure, this can be a solution for documentation without creating installed package. flow of genetic information in prokaryotesWebRStudio Usually you write your function first, then its documentation. Once the function definition exists, put your cursor somewhere in it and do Code > Insert Roxygen Skeleton to get a great head start on the roxygen comment. Once you have at least one roxygen comment, run devtools::document () to generate (or update) your package’s .Rd files 3. flow of gases through porous media carmanWebcase+variable.names: R Documentation: Case and Variable Names of Fitted Models Description. Simple utilities returning (non-missing) case names, and (non-eliminated) variable names. Usage green circle feeds limitedWebApr 1, 2024 · I'd like to identify variables with starts_with () and then perform a case_when mutation. For example, let's say I want to do the equivalent of: mtcars$mpg [mtcars$mpg == 21.0] <- 5; mtcars My attempt: mtcars %>% mutate_at ( vars (starts_with ("mpg")), funs (. = case_when ( . == 21.0 ~ 5, TRUE ~ . )) ) What am I doing wrong? flow of funds diagram