[英]dplyr summary of values returns NA
I am trying to summarize the dataframe below, but I keep getting NA instead of the mean I was expecting. 我正在尝试总结下面的数据框,但是我一直得到NA,而不是我期望的平均值。 Can someone explain why this is happening?
有人可以解释为什么会这样吗?
fbobjective<-data.frame(
Participant=c("a","c","c"),
"Part.2.or.3."=c(3,2,2),
No_Photos=c(10,12,40)
)
fb_obj_v2<-fbobjective
#unique participant id's
fb_obj_v2$Participant<-paste0(fb_obj_v2$Participant,fb_obj_v2$"Part.2.or.3.")
fb_obj_v2$"Part.2.or.3."<-NULL
dim(fb_obj_v2)
#convert numbers to numbers or NA. bind Participant names back to this
numeric_results<-as.matrix(sapply(fb_obj_v2, as.numeric))
numeric_results<-as.data.frame(numeric_results)
numeric_results[,1]<-fb_obj_v2$Participant
numeric_results<-as.data.frame(numeric_results)
View(numeric_results)
#return data
res<-numeric_results %>% group_by(Participant) %>% summarise(mean("No_Photos"))
View(res)
We don't need to quote the No_Photos
我们不需要引用
No_Photos
numeric_results %>%
group_by(Participant) %>%
summarise( Mean = mean(No_Photos, na.rm=TRUE))
# Participant Mean
# (chr) (dbl)
#1 a3 10
#2 c2 26
NOTE: I used na.rm=TRUE
to remove NA
values if present. 注意:我使用
na.rm=TRUE
删除NA
值(如果存在)。
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