everything() 用于选择所有变量(列名),一般用于改变列名顺序用 filter函数筛选特定的行 filter函数的参数没有select函数那般复杂了,简单的说就是筛选出符合判别式(只要是能返回布尔值的,例如运算符,%>%,is.na等)的行,当然也支持多个表达式一起进行判别,用|或者&进行区别即可,如下: 筛选Sepal.Length列大于5并且小...
filter_at(iris, vars(starts_with("Sepal")), all_vars(. > 3)) 除了根据上述表达式筛选行,filter还可以根据行号进行筛选数据,但还是用slice()代替filter()做这项工作比较好,如筛选第5行数据,筛选最后一行数据,筛选前5行数据 slice(iris, 5) filter(iris, row_number() == 5) slice(iris, 1:5) sli...
# filter a value that match some condition filter(tbl, color == "blue") ## A tibble: 3 × 2 # color value # <fctr> <int> # 1 blue 1 # 2 blue 3 # 3 blue 4 # filter value in 1 or 4 filter(tbl, value %in% c(1,4)) # A tibble: 2 × 2 # color value # <fctr> <...
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First, a quick rundown of the available functions:starts_with(prefix): find columns that start with a string prefix. ends_with(suffix): find columns that end with a string suffix. contains(substr): find columns that contain a substring in their name. everything(): all columns. columns_...
dplyr_data-wrangling-cheatsheet(R语言 dplyr 学习神器)
In dplyr, subsetting data is handled by two verbs:filterfor subsetting by rows, andselectfor subsetting by columns. This is fine for data frames, where everything runs in memory; and for SQL databases, where the hard work is done by the database. For Xdf files, however, this is subop...
gasoline%>%filter(year%in%seq(1969,1973))gasoline%>%filter(between(year,1969,1973)) 这两行代码结果是一样的: ## # A tibble: 90 x 6 ## country year lgaspcar lincomep lrpmg lcarpcap ## <fct> <int> <dbl> <dbl> <dbl> <dbl> ...
library(ggplot2) # 分组 flights %>% group_by(dest) %>% # 每组均值 summarise(count = n(), dist = mean(distance, na.rm = TRUE), # na.rm=TRUE移除NA值 delay = mean(arr_delay, na.rm = TRUE)) %>% # 解除分组 ungroup() %>% # 过滤 filter(count > 20, dest != "HNL") %>...
filter(tbl_df, cond & cond):根据逻辑条件选取,使用&或者|来进行设置 filter(hflights_df, Month == 1, DayofMonth == 1) filter(tbl_df, x%in%c("a","b")) :表示x中包含"a"或者"b"的值,返回为逻辑为真 filter(iris,Species!="setosa") / filter(iris,!Species %in%c("setosa")):排除某些...