For each Row in an R Data Frame In this tutorial, we shall learn how to apply a function for each Row in an R Data Frame with an example R Script using R apply function. To call a function for each row in an R data frame, we shall use R apply function. Syntax – apply() The...
b=2c=1# apply along each row:row_fn<-apply(data,1,fn,x2=b,x3=c)# apply along each column:col_fn<-apply(data,2,fn,x2=b,x3=c) 让我们检查一下第fn行和第fn列 代码语言:javascript 复制 row_fn 代码语言:javascript 复制 col_fn apply()系列的其余部分遵循类似的结构,除了一些更改外,其他...
> myScale=function(x){ + x.Mean=apply(x,2,mean) + x.sd=apply(x,2,sd) + #注意下面...
> # Apply given R function to each row > ore.rowApply(IRIS_TABLE, + function(dat) { + # Any R code goes here. Operates on one row of IRIS_TABLE at + # a time + cbind(dat, dat$Petal.Length) + }) $`1` Sepal.Length Sepal.Width Petal.Length Petal.Width Species dat$Petal.Len...
> # Apply given R function to each row > ore.rowApply(IRIS_TABLE, + function(dat) { + # Any R code goes here. Operates on one row of IRIS_TABLE at + # a time + cbind(dat, dat$Petal.Length) + }) $`1` Sepal.Length Sepal.Width Petal.Length Petal.Width Species dat$Petal.Len...
Continuing along the Nile, say we would like to know in how many years the level exceeded 1200. Let's first introduce R's sum function:> sum(c(5,12,13)) [1] 30Here the c function built a vector consisting of 5, 12 and 13. That vector was then fed into the sum function, ...
The functionlay()– the only function of the package{lay}– is intended to be used to apply a function on each row of a data frame or tibble, independently, and across multiple columns containing values of the same class (e.g. all numeric). ...
搬瓦工的1G内存，想要跑一个MySQL服务，动辄500M内存就没了，剩下一半的内存让我感觉很虚，于是想把是...
azureml_main <-function(dataframe1, dataframe2){ data.set <- dataframe1[dataframe1[,1]==-1,]# positions of the positive samplespos <- dataframe1[dataframe1[,1]==1,]# replicate the positive samples to balance the samplefor(iin1:20) data.set <- rbind(data.set,pos) row.names(data....
13、向量化运算和apply家族 #向量化 x=1:5 (y=x^2) (y=matrix(1:16,4,4)) (z=y^2) (x=1:5) (y=11:15) (x+y) y>=13 ifelse(x%%2==0,'A','B') x=data.frame(pv=rnorm(100,20,3), uv=rnorm(100,40,4), ip=runif(100,40,50)) ...