UserUser安装并加载dplyr包创建示例数据集使用filter函数删除gender列中值为male的行返回处理后的数据集 饼状图 100%0%Data DistributionFemaleMale 参考资料 [‘Subset’ Function in R Programming]( 2
function(x,y){c("The first one is",x,"The second one is",y)}>my_f(3,4)[1]"The first one is""3""The second one is"[4]"4">my_f(y=3,x=4)[1]"The first one is""4""The second one is"[4]"3">my_f(y=3,4)[1]"The first one is""4""The second one is"[4]"...
mutate:adds a new column as a function of existing columns (增加新的列) summarize:collapses a data frame to a single row (概述数据的统计特征) group_by:breaks a data frame into groups of rows (对数据分组) 1. filter 只选取Species列中,值为virginica的数据 (这里也是用到了管道符,将filter函数...
首先应该检查的是,你是否已经安装并加载了函数来源的所有包--运行代码 ?function-name,例如 ?filter 将会显示一个帮助屏幕,上面有关于如何使用该函数的信息,以及它所来自的包如果你从库中加载了几个类似的包,它们可能包含名称相同的不同函数,如果R搞不清该使用哪个,你的代码可能会崩溃--运行package::function,...
square <- function(x){ return(x*x) } # 构建一个向量 vector1 <- c(2,4,5,6) # 使用map()函数生成向量的平方 map(vector1, square) ## [[1]] ## [1] 4 ## ## [[2]] ## [1] 16 ## ## [[3]] ## [1] 25 ##
(dplyr) pf.fc_by_age_gender2 <- pf %.% filter(!(gender)) %.% group_by(age,gender) %.% summarise( friend_count_mean = mean(friend_count), friend_count_median = median(friend_count), n = n()) %.% ungroup()%.% arrange(age) head(pf.fc_by_age_gender2) ``` ```{r ...
It can be used to select and filter variables and observations. The two primary methods for subsetting data in R are brackets [], which are a general indexing method, and the subset() function, which is a higher-level and more user-friendly method. If you want to explore more about ...
The user supplied factory function will be called for each incoming value and is responsible for creating the new stream instances. If the function returns null / undefined, no further action will be taken (acts like a filter transducer, i.e. the incoming value is simply ignored)....
Or should I instead use a function such as filter by valid (like in SPSS). Best regards, Daan Reply Joachim March 31, 2022 9:51 am Hey Daan, Thank you very much for the kind words, it’s great to hear that you find my tutorials helpful! This strongly depends on your specific dat...
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