这是我的第一个Stack Overflow帖子。我researched extensively,但没有找到类似的帖子。
我试图根据两个条件来估算NA值的中位数。
这是我的代码:
#Create sample of original data for reproducibility
Date<-c("2009-05-01","2009-05-02","2009-05-03","2009-06-01","2009-06-02",
"2009-06-03", "2010-05-01","2010-05-02","2010-05-03","2010-06-01",
"2010-06-02","2010-06-03","2011-05-01","2011-05-02","2011-05-03",
"2011-06-01","2011-06-02","2011-06-03")
Month<- c("May","May","May","June","June","June",
"May","May","May","June","June","June",
"May","May","May","June","June","June")
DayType<- c("Monday","Tuesday","Wednesday","Monday","Tuesday","Wednesday",
"Monday","Tuesday","Wednesday","Monday","Tuesday","Wednesday",
"Monday","Tuesday","Wednesday","Monday","Tuesday","Wednesday")
Qty<- c(NA,NA,NA,NA,NA,NA,
1,2,1,10,15,13,
3,2,5,20,14,16)
#Combine into dataframe
Example<-data.frame(Date,Month,DayType,Qty)
#Test output
Example
# Make a separate dataframe to calculate the median value based on day of the month
test1 <- ddply(Example,. (DayType,Month),summarize,median=median(Qty,na.rm=TRUE))
这按预期工作。 Test1输出看起来像这样:
DayType Month Median
Monday June 15.0
Monday May 2.0
Tuesday June 14.5
Tuesday May 2.0
Wednesday June 14.5
Wednesday May 3.0
第二步,将原始数据集中的“ NA”值替换为在test1中计算出的中位数。这就是我的问题所在。
Example$Qty[is.na(Example$Qty)] <- test1$median[match(Example$DayType,test1$DayType,Example$Month,test1$Month)][is.na(Example$Qty)]
示例
Match []仅匹配每天的中间值,而不是逐月每天的中间值。对于整个集合,输出是相同的七个重复值。我还没有弄清楚如何同时在两列上进行匹配。
Output:
Date DayType Month GSEvtQty
2009-05-01 Monday May 15.0 *should be 2.0, matching to June
2009-05-02 Tuesday May 14.5 *should be 2.0, matching to June
2009-05-03 Wednesday May 14.5 *should be 3.0, matching to June
2009-06-01 Monday June 15.0 *imputes correctly
2009-06-02 Tuesday June 14.5 *imputes correctly
2009-06-03 Wednesday June 14.5 *imputes correctly
2010-05-01 Monday May 1.0
2010-05-02 Tuesday May 2.0
2010-05-03 Wednesday May 1.0
2010-06-01 Monday June 10.0
2010-06-02 Tuesday June 15.0
2010-06-03 Wednesday June 13.0
我也尝试使用%in%:
Example$Qty[is.na(Example$Qty)] <- test1$median[Example$DayType %in% test1$DayType & Example$Month %in% test1$Month][is.na(Example$Qty)]
但这不能正确匹配,只能输出有限数量的值,而不能输出整个NA系列。
通过@Jaap的巧妙建议,通过Zoo软件包使用na.aggregate:
setDT(Example)[, Value := na.aggregate("Qty", FUN = median), by = c("DayType","Month")]
由于某些原因不能改变NA:
Output:
Date Month DayType Qty
2009-05-01 May Monday NA
2009-05-02 May Tuesday NA
2009-05-03 May Wednesday NA
2009-06-01 June Monday NA
任何建议将不胜感激!感谢您长期担任此职位,并希望将来能为您提供帮助。
答案 0 :(得分:0)
这就是创建merge
的目的。
info$GSEvtQty[is.na(info$GSEvtQty)]<- merge(info[is.na(info$GSEvtQty,)], test1, by=c("DayType", "Month"))[,"GSEvtQty"]