我有一个评级和用户表。 我想在Users表中添加一个名为" AvRating" 对于该列的每一行,我希望每个用户给出的平均评分。 我遍历评级表中的所有用户ID,并获得所有相应评级的平均值。 然而,专栏" AvRating"包含一堆N / A,这就是全部。
Ratings = read.table("Ratings.txt",
sep="\t",
col.names=c("ID", "MId", "Rating"),
fill=FALSE,
strip.white=TRUE)
Users = read.table("Users.txt",
sep="\t",
col.names=c("ID", "Age", "Gender", "Occupation", "ZIP"),
fill=FALSE,
strip.white=TRUE)
Users["AvRating"] <- NA
for(i in 1:943){ # 943 rows in "Ratings" table
N = 0
x = i
# Counting number of ratings by specific User
while(Ratings[1, i]==x){
N=N+1
}
x = i
temp = rep(0, N)
for(j in 0:N){
temp[j] = Ratings[3, i]
}
t = mean(temp)
Users[6][i] = t
}
Users[6]
答案 0 :(得分:1)
使用R,您几乎不需要循环。使用dplyr
,
# first load data and dplyr
library(dplyr)
user.ave.rating <- Ratings %>%
group_by(ID) %>%
summarize(AvRating = mean(Rating, na.rm = TRUE))
# Join this to your user table
Users <- left_join(Users, user.ave.rating)
在基础R中也很容易,但我发现聚合的语法更难以理解/记住:
user.ave.rating <- aggregate(Rating ~ ID, FUN = mean, data = Ratings, na.rm = TRUE)
names(user.ave.rating)[2] <- "AvRating"
Users <- merge(Users, user.ave.rating, by = "ID")