使用NA替换缺失值 在一个数据中有很多缺失值用NA来表示可能会更加方便,比如N/A、N A,Not Available,-999等。 naniar中提供了replace_with_na函数把这些缺失值替换为NA。主要有: replace_with_na replace_with_na_all replace_with_na_at replace_with_na_if 和dplyr中的replace_na()用法完全一样,不过一个...
mutate_if(is.numeric, ~replace_na(., 0)) %>% mutate_if(is.character, ~replace_na(., "xx")) To be honest, I prefer the combo functions as I got used to applying the pipe%>%code in R, so the relevant functions likemutate_if(),mutate_all(),mutate_at()functions intidyverseR pa...
The post Replace NA with Zero in R appeared first on Data Science Tutorials Replace NA with Zero in R, Using the dplyr package in R, you can use the following syntax to replace all NA values with zero in a data frame. Substitute zero for any NA values. C
## CDK12_mut 0 0 0 NA # replace all non-finite values with 0 markerMat[!is.finite(markerMat)] <- 0 colnames(markerMat)<-cols dim(markerMat) #1315 1389 ## [1] 1315 1389 markerMat[1:4,1:4] ## CAL-29 CAL-33 697 CCNE1 ## CDC27_mut 0 0 0 0 ## CDC73_mut 0 0 ...
使用NA替换缺失值 在一个数据中有很多缺失值用NA来表示可能会更加方便,比如N/A、N A,Not Available,-999等。 naniar中提供了replace_with_na函数把这些缺失值替换为NA。主要有: replace_with_na replace_with_na_all replace_with_na_at replace_with_na_if ...
为此,我使用了str_replace_all。但是,一旦我使用str_replace_all,向量就会转换为字符。因此,我使用as.numeric(var)将向量转换为numeric,但引入了NAs,尽管在运行as.numeric代码之前运行下面的代码时,向量中没有NAs。 sum(is.na(dd_2006$SumOfCost)) [1]0sum(is.na(dd_2006$SumOfCases)) [1]0sum(is.na(...
resinlife resinnarquez sl luis resinoid wheel resinous electricity resinswelling resisco resist doing resist it resist lighting resist strippers resist the authority resistance light fitt resistance box with p resistance error corr resistance exercise resistance grading of resistance lamp resistance level re...
replace_ratingReplace ratings (e.g., "10 out of 10", "3 stars") with word equivalent as_keyCoerce adata.framelexicon to a polarity hash key is_keyCheck if an object is a hash key update_keyAdd/remove terms to/from a hash key ...
2 str_replace_all函数 第二组: 1 str_remove函数 2 str_remove_all函数 library(tidyverse) # 第一组:str_replace和str_replace_all函数 # 选择采用什么内容来替换掉与模式匹配成功的字符 fruits <- c("one apple","two pears","three bananas") ...
## [1] "#Paris" "#Paris" "#Paris" NA str_extract_all功能类似str_extract,但是它会剥离文本向量中每个元素中所有符合匹配模式的值,无匹配时返回character(0),结果格式为list格式。 str_extract_all(paris_tweets, hash) ## [[1]]## [1] "#Paris"## ## [[2]]## [1] "#Paris" "#Amelie"...