Example 2: for-Loop Over Rows of Data Frame It is also possible to apply for-loops to loop through the rows of a data frame. Example 2 explains how to use thenrow functionfor this task. First, let’s replicate our data: data2<-data# Replicate example data Now, we can apply the fo...
Before you do so, note that you can get the number of rows in your data frame using nrow(stock). Then, you can create a sequence to loop over from 1:nrow(stock). for (row in 1:nrow(stock)) { price <- stock[row, "apple"] date <- stock[row, "date"] if(price > 117) { ...
在您的代码中,您正在重新定义每个循环,因此最终结果与使用i = 4运行一次代码相同 为了获得所需的结果,可以意识到数据帧是一个等于length-rows的列表,因此我们可以使用lapply。
data <- data.frame(...) # this is a dataframe with multiple columns, of which "variable1" and "variable2" are both columns from mean_xm <- 0 # empty variable for storage purposes # for loop over the variables for (i in length(specific_variables)) { mean_xm[i] <- mean(data$spe...
transposed_data$Variable <- names(mydata)[-1] # loop through and fill in the rest. For each original column, copy its values over. for (i in 2:ncol(mydata)) { transposed_data[i-1, -1] <- as.numeric(mydata[, i]) } # final dataframe print(transposed_data) Variable A1 A2 A3...
如何在线把 Excel 转换为 R DataFrame ? 1. 上传或粘贴你的 Excel 到数据源 只要粘贴(从 Microsoft Excel、Google Sheets、Mac Numbers 或网页中复制的表格)或将 Excel 拖放到 数据源 的textarea 中,它将立即执行转换的魔力。 2. 如果有需要,可以使用表格编辑器修改你的 Excel 你可以通过 表格编辑器 像Excel...
R -在一个for循环中，如果一个 Dataframe 遍历列df[[i]]，我如何为每个循环打印列df[[i]]的名称...
第二个便是foreach循环,需要加载foreach包。Foreach provides an elegant way to loop through multiple elements of another object (such as a vector, matrix, data frame, or iterator), evaluate an expression for each element, and return the results.下面是foreach函数的原型。
insert SQL 转换为 R DataFrame 像Excel 一样轻松地编辑 insert SQL 数据 x10
R -在一个for循环中，如果一个 Dataframe 遍历列df[[i]]，我如何为每个循环打印列df[[i]]的名称...