A few days ago I was given code by a client for a function that, given a path to a patient’s file, generates a useful ID for the patient. I won’t post the actual function, but it was something along the lines of this: library(stringr)library(dplyr)patient_name<-function(path){...
Recommended Lessons and Courses for You Related Lessons Related Courses Filter Function in R Programming Select Function in R Programming Mutate Function in R Programming Summary Function in R Programming | Overview & Example Start today. Try it now Computer Science 114: Programming in R ...
I realize that this is a slightly more complicated application, but in reality, this is a very common way to use case_when in R. We commonly use case_when to create new variables in a dataframe, in conjunction with the mutate function. EXAMPLE 4: Create new variable by multiple conditions...
# select_with() if you want to apply the function to columns and include another function within it # 创建新列 # mutate函数 marine5 <- marine4 %>% mutate(genus_species = paste(genus, species, sep = "_")) %>% glimpse() # 使用case_when函数构建多条件的逻辑操作 marine6 <- marine5 ...
work for arbitrary R function, as we don't know if that functions accept vector or a list. In first case all values has to be coerced to same type and copied into new vector. In latter case it could be eventually referenced. But how we can know if function expects a list or vector...
Works the same as edit, only it takes in a replacement for the specified path rather than a transformation function. usage example const {getPaths, replace} = require('@rescripts/utilities') module.exports = config => { const paths = getPaths(somePredicate, config) return replace('some re...
In this example, a long chain of commands is to be executed: Mutatehflightsby adding a new column of flight speed Group the data by the code of unique carrier For each group summarize the data by computing the number of observations, average speed, median speed, standard deviation of speed...
For example, thegather()function intidyrcan be used to convert wide data into long data. Here's an example: R # convert the stock data into longer datalibrary(tidyr) stocksL <- gather(data = stocks, key = stock, value = price, X, Y, Z) stocksL ...
TargetRegisterInfo::isVirtualRegister(Dst.getReg()))continue;// We need mutate the operands of new mov instructions to add implicit// uses of EXEC, but adding them invalidates the use_iterator, so defer// this.SmallVector<MachineInstr *,4> CopiesToReplace;std::vector<FoldCandidate> FoldList...
export function AdminOrderAction({ OrderId }: { OrderId: number; }) { const style = useStyles(); const { dispatch, dispatchToast } = useErrorToast(log); const { data: order, mutate } = useOrder(OrderId, true); const { run: accept } = AdminHub.Order.Post.useAccept({ manual: tr...