R包基础实操—tidyverse包 tidyverse包,分享整洁数据的基础设计理念、语法和数据结构。 核心软件包是ggplot2、dplyr、tidyr、readr、purrr、tibble、stringr和forcats,它们提供了建模、转换和可视化数据的功能。 其中,readr包用于读取数据,tidyr包用于整理数据,dplyr包用于数据转换,ggplot2包用于数据可视化,purrr包用于函数...
x = "10,8,7" str_split(string = x, pattern = ",") # 返回列表 ## [[1]] ## [1] "10" "8" "7" # 返回矩阵,n 控制返回的列数 str_split_fixed(string = x, pattern = ",", n = 1) ## [,1] ## [1,] "10,8,7" 3.4 字符串格式化输出 只要在字符串内用 {变量名},则函...
R包基础实操—tidyverse包 R包基础实操—tidyverse包 核⼼软件包是g g p l o t2、d p l y r、t i d y r、r e a d r、p u r r r、t i b b l e、s t r i n g r和f o r c a t s，它 们提供了建模、转换和可视化数据的功能。其中，r e a d r包⽤于读取数据，t i d ...
separate(): splits a single column into multiple columns unite(): combines multiple columns into a single columnlibrary(tidyr)library(dplyr)DF <- data.frame(Group=rep(1:3, each=4), Year=rep(2006:2009, times=3), Qtr.1 = rep(seq(14, 20, 2), 3), Qtr.2 = rep(seq(12, 18, ...
ragnar_read(): Use frame_by_tags and/or split_by_tags arguments to associate text chunks with their document position. markdown_segment(): Segment markdown text into a character vector using semantic tags (e.g., headings, paragraphs, or code chunks). markdown_frame(): Convert markdown ...
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str_split() from stringr. The data now looks like this ## Source: local data frame [6 x 2] ## Groups: ## ## # A tibble: 6 x 2 ## package func ## <chr> <chr> ## 1 broom argument_glossary ## 2 broom augment ## 3 broom augment_columns ## 4 broom bootstrap ...
To split a dataset and apply an operation to separate parts, we can use the group_split() function:unique(mtcars$cyl)## [1] 6 4 8 mtcars %>% group_split(cyl) %>% # split into three dataframes map(summary) # applied to each dataframe...
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separate(): splits a single column into multiple columns unite(): combines multiple columns into a single column library(tidyr) library(dplyr) DF <- data.frame(Group=rep(1:3, each=4), Year=rep(2006:2009,times=3), Qtr.1 = rep(seq(14, 20, 2), 3), Qtr.2 = rep(seq(12, 18,...