[英]R dplyr mutate conditional when_case fails to update dataframe
I am using R dplyr::mutate
to conditionally change a data frame variable value. 我正在使用R
dplyr::mutate
有条件地更改数据帧变量值。 The df_forecast is derived from a CSV file input using stringsAsFactors=F
. df_forecast源自使用
stringsAsFactors=F
输入的CSV文件。
The variable attribute Acres
is a string, later to be cast to a factor, which contains '10-Jan' (1/10/2019). 变量属性
Acres
是一个字符串,稍后将转换为一个包含'10 -Jan'(1/10/2019)的因子。 I am attempting to mutate the value of Acres '10-Jan' to '1 to 10', but the mutate is not making any changes inside the data frame. 我正在尝试将Acres的值“ 10-Jan”更改为“ 1 to 10”,但该更改未对数据帧进行任何更改。
This same failure update issue is on the second code example for 'YearBuilt' below: trying to clean / change '15' to '2015'. 下面的“ YearBuilt”的第二个代码示例上也存在同样的故障更新问题:尝试将“ 15”清除/更改为“ 2015”。
I am using R Studio (3.5). 我正在使用R Studio(3.5)。
dplyr effort explored: dplyr的努力探索:
I have tried equal assignment 我尝试过平等分配
'mutate(df_forecast$Acres = case_when...' which resulted in this error msg: 'Error: unexpected '=' in: "df_forecast %>% mutate(df_forecast$Acres ="'
'mutate(df_forecast $ Acres = case_when ...'),导致此错误消息:'错误:意外'='in:“ df_forecast%>%mutate(df_forecast $ Acres =”'
I tried '==' to 'mutate(df_forecast$Acres == case_when...' which resulted with 'data.frame': 22745 obs. of 19 variables 我尝试'=='进行'mutate(df_forecast $ Acres == case_when ...',这导致了'data.frame':22745 obs。of 19 variables
df_forecast <- data.frame(forecast)
df_forecast %>%
mutate(df_forecast$Acres == case_when(df_forecast$Acres == "10-Jan" ~ "1 to 10")) %>%
##
str(df_forecast)
df_forecast %>%
mutate(df_forecast$YearBuilt == case_when(df_forecast$YearBuilt == "15" ~ "2015")) %>%
##
str(df_forecast)
You don't have to write df_forecast$Acres
just Acres
and specifiy what has to happen when none of the conditions apply. 你不必写
df_forecast$Acres
只是Acres
和specifiy什么也没有时的条件适用于发生。
data <- data.frame(Acres = c("10-Jan", "10-Jan", "anytime", "10-Jan", "10-Jan", "anytime"),
stringsAsFactors = FALSE)
> data
Acres
1 10-Jan
2 10-Jan
3 anytime
4 10-Jan
5 10-Jan
6 anytim
data %>%
mutate(Acres = case_when(Acres == "10-Jan" ~ "1 to 10",
TRUE ~ Acres)) -> data
> data
Acres
1 1 to 10
2 1 to 10
3 anytime
4 1 to 10
5 1 to 10
6 anytime
I just assigned the content of Acres
back to Acres
when Acres != "10-Jan"
, but it can be anything. 当
Acres != "10-Jan"
,我只是将Acres
的内容分配回了Acres
,但这可以是任何东西。
UPDATE: To make the changes permanent you also have to assign the result to your data.frame. 更新:要使更改永久生效,您还必须将结果分配给data.frame。
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