问题描述
library(lattice)
library(multcomp)
library(dplyr)
ad.df <- read.csv("8_clickstream.csv",stringsAsFactors = TRUE)
ad.df_readme <- read.csv("8_clickstream_readme.csv",stringsAsFactors = TRUE)
summary(ad.df)
str(ad.df)
na.omit(ad.df)
mean(ad.df$time_spent_homepage_sec[ad.df$condition == "treatment"]) ## Here I get a NaN result,I don't kNow why...
str(ad.df)
'data.frame': 30000 obs. of 6 variables:
$ visit_date : Factor w/ 30 levels "01/04/2020","02/04/2020",..: 30 30 30 30 30 30 30 30 30 30 ...
$ condition : Factor w/ 2 levels "quality","taste": 2 2 2 2 2 2 2 2 2 2 ...
$ time_spent_homepage_sec: num 49 48.9 49.1 49.3 50.4 ...
$ clicked_article : int 1 1 1 0 0 1 1 1 1 0 ...
$ clicked_like : int 0 0 0 1 1 0 0 0 0 0 ...
$ clicked_share : int 1 0 0 0 0 0 0 0 0 0 ...
###
head(ad.df)
visit_date condition time_spent_homepage_sec clicked_article clicked_like
1 31/03/2020 taste 49.01161 1 0
2 31/03/2020 taste 48.86452 1 0
3 31/03/2020 taste 49.07467 1 0
4 31/03/2020 taste 49.26011 0 1
5 31/03/2020 taste 50.37190 0 1
6 31/03/2020 taste 49.08458 1 0
clicked_share
1 1
2 0
3 0
4 0
5 0
6 0
解决方法
暂无找到可以解决该程序问题的有效方法，小编努力寻找整理中！
如果你已经找到好的解决方法，欢迎将解决方案带上本链接一起发送给小编。
小编邮箱:dio#foxmail.com (将#修改为@）