[英]Assign value (stemming from configuration table) to group based on condition in column
[英]Assign value to a column from another column based on condition
說我有一個這樣的清單:
> desired <- c("10001", "10004")
還有一個示例數據框,如下所示:
> desired_sample_df <- data.frame(geo = rep("other", 30), zip = c(rep(10001:10010, 2), 10011:10020), cbsa = c(rep("NY", 20), rep("CA", 10)))
> desired_sample_df
geo zip cbsa
1 other 10001 NY
2 other 10002 NY
3 other 10003 NY
4 other 10004 NY
5 other 10005 NY
6 other 10006 NY
7 other 10007 NY
8 other 10008 NY
9 other 10009 NY
10 other 10010 NY
11 other 10001 NY
12 other 10002 NY
13 other 10003 NY
14 other 10004 NY
15 other 10005 NY
16 other 10006 NY
17 other 10007 NY
18 other 10008 NY
19 other 10009 NY
20 other 10010 NY
21 other 10011 CA
22 other 10012 CA
23 other 10013 CA
24 other 10014 CA
25 other 10015 CA
26 other 10016 CA
27 other 10017 CA
28 other 10018 CA
29 other 10019 CA
30 other 10020 CA
僅當zip的值在開始時保存的desired
列表中時,我才想用zip的值覆蓋geo
列。
這是我嘗試過的:
> desired_sample_df$geo[desired_sample_df$zip %in% desired] <- desired_sample_df$zip[which(desired_sample_df$zip %in% desired)]
Warning message:
In `[<-.factor`(`*tmp*`, desired_sample_df$zip %in% desired, value = c(NA, :
invalid factor level, NA generated
> desired_sample_df$geo[desired_sample_df$zip %in% desired] <- desired_sample_df$zip
Warning messages:
1: In `[<-.factor`(`*tmp*`, desired_sample_df$zip %in% desired, value = c(NA, :
invalid factor level, NA generated
2: In `[<-.factor`(`*tmp*`, desired_sample_df$zip %in% desired, value = c(NA, :
number of items to replace is not a multiple of replacement length
問題之一是數據幀中的字符串會自動成為因素。 嘗試這個:
desired <- c("10001", "10004")
df <- data.frame(geo = rep("other", 30), zip = c(rep(10001:10010, 2), 10011:10020), cbsa = c(rep("NY", 20), rep("CA", 10)), stringsAsFactors=FALSE)
idx <- df$zip %in% desired
現在,您可以通過以下方式更改所需的元素
df[idx, ]$geo <- df[idx, ]$zip
像這樣?
df$geo <- ifelse(df$zip %in% desired,df$zip,df$geo)
在這里我叫你的desired_sample_df
,只是df
。
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