# 遍历行 apply(df, 1, function(row) { # 操作row,即每一行的元素 }) # 遍历列 apply(df, 2, function(col) { # 操作col,即每一列的元素 }) 使用lapply函数遍历Dataframe的列: 抱歉,当前编辑器暂不支持代码块标记为txt语言,您可操作将代码块语言设置为txt 代码语言:txt 复制 lapply(df, function(c...
r rda.preds<-predict(rda.model,t(train.set),train.responses,t(test.set))# determine performance for each alpharda.perf<-vector(,dim(rda.preds)[1])for(iinseq(dim(rda.preds)[1])){# performance for each gammares<-apply(rda.preds[i,,],1,function(x)length(which(x==as.numeric(test....
删除所有列中缺少数据的行 删除列 RowNumber 和CustomerId 的重复行 删除列 RowNumber、CustomerId 和SurnameR 复制 # Transform the R DataFrame to a Spark DataFrame df <- as.DataFrame(rdf) clean_data <- function(df) { sdf <- df %>% # Drop rows that have missing data across all columns ...
#rs3=future_apply(df1, 1, sd) #14s; rs3 =future_apply(df1, 1, sd, future.chunk.size=nrow(df1)/8 ) }else if(2==k){ rs3=future_sapply(1:nrow(df1), function(x){ #2.5s sd( df1[x,] ) }) }else if(3==k){ rs3=future_sapply(1:nrow(df1), function(x){ #2.6s sd(...
prop_test(),pairwise_prop_test()androw_wise_prop_test(). Performs one-sample and two-samples z-test of proportions. Wrappers around the R base function prop.test() but have the advantage of performing pairwise and row-wise z-test of two proportions, the post-hoc tests following a signi...
R语言与Python中的apply函数都有着丰富的应用场景,恰到好处的使用apply函数,可以避免在很多场景下书写冗余的代码,这不仅能提高代码可读性,而且提高代码执行的效率。 代码语言:javascript 复制 apply(X,MARGIN,FUN,...)X#一个数组(包括矩阵)MARGIN#一个给定下标的向量,将被指定函数执行计算1代表行,2代表列,c(1,...
sbdeep <- function(data, parts, xiaoz){ parts<-parts # 分几个箱 xiaoz<-xiaoz # 极小值 # 这里以data等比分为4段,步长为1/4 value<-quantile(data,probs = seq(0,1,1/parts)) number<-mapply(function(x){ for (i in 1:(parts-1)) { if(x>=(value[i]-xiaoz)&x<value[i+1]) {...
> df<-data.frame(a=1:5,b=c('A','A','B','B','A'),c=rnorm(5));df a b c 1 1 A 1.1780870 2 2 A -1.5235668 3 3 B 0.5939462 4 4 B 0.3329504 5 5 A 1.0630998 # 自定义排序函数 > order_df<-function(df,col,decreasing=FALSE){ + df[order(df[,c(col)],decreasing=decreas...
NotificationsYou must be signed in to change notification settings Fork99 Star528 Files c8f4901 R RcppExports.R RunHarmony.R data.R harmony-package.r ui.R utils.R data docs man src tests vignettes .Rbuildignore .gitignore .travis.yml ...
("A", "B"), each = 15) ) # 绘制堆叠面积图 ggplot(df, aes(x = category, y = value, fill = group)) + geom_area(position = "stack") + ggtitle("不同类别的占比堆叠面积图") + xlab("类别") + ylab("值") + theme_minimal() + scale_fill_manual(values = c("lightblue", "...