library(varhandle)if(all(check.numeric(df$Machine, na.rm=TRUE))){# convert the vector to numericdf$Machine <-as.numeric(df$Machine) } Run Code Online (Sandbox Code Playgroud) 这有效但效率低,因为我必须手动输入上面的列名.如何在循环中更有效地执行此操作或在多列上使用矢量化?我的实际数据集有...
(name, height, mass, homeworld) %>% mutate( mass = NULL ) # 修改列,通过运算符修改 starwars %>% select(name, height, mass, homeworld) %>% mutate( height = height * 0.0328084 # convert to feet ) # 修改多列,利用across函数将多列字符串数据转换为因子 starwars %>% select(name, ...
starwars %>% summarise(across(where(is.numeric), min_max)) starwars %>% summarise( tibble( across(where(is.numeric), ~min(.x, na.rm = TRUE), .names = "min_{.col}"), across(where(is.numeric), ~max(.x, na.rm = TRUE), .names = "max_{.col}") ) ) arrange函数介绍 常规用...
版权声明：本文内容由互联网用户自发贡献，该文观点仅代表作者本人。本站仅提供信息存储空间服务，不拥有...
Joins now always reencode character columns to UTF-8 if necessary. This gives a nice speedup, because now pointer comparison can be used instead of string comparison, but relies on a proper encoding tag for all strings (#2514). Fixed problems when joining factor or character encodings with a...
我们可以将mutate与across一起使用，因为as.numeric需要vector作为输入，而不是数据、帧或列表 ...
泰勒公式，也称泰勒展开式。是用一个函数在某点的信息，描述其附近取值的公式。如果函数足够平滑，在已知...
# mpg cyl disp hp drat wt qsec vs am
The summarise verb is much simpler to work with than the standard rxSummary function. It doesn't require scanning through a list of output objects to find the information you're after, and it accepts grouping variables of any type (numeric, character or factor). The...
# mpg cyl disp hp drat wt qsec vs am