我有一个如下所示的数据框：
vdate=c("12-04-2015","13-04-2015","14-04-2015","15-04-2015","12-05-2015","13-05-2015","14-05-2015"
,"15-05-2015","12-06-2015","13-06-2015","14-06-2015","15-06-2015")
month=c(4,4,4,4,5,5,5,5,6,6,6,6)
col1=c(12,12.4,14.3,3,5.3,1.8,7.6,4.5,7.6,10.7,12,15.7)
df=data.frame(vdate,month,col1)
以下是包含基于一些计算的值的列：
pvar=c(8.4,2.4,12,14.4,2.3,3.5,7.8,5,16,5.4,18,18.4)
现在，我要替换pvar值，如果它的值小于该特定月份的平均值。
For example,
for month 4,
Average value of pvar is 9.3 ((8.4+2.4+12+14.4)/4).
然后替换pvar中所有小于第4个月的平均值（8.4＆2.4）的值。Pvar值为9.3,9.3,12,14.4
我需要对pvar中的所有值执行此操作。
一个dplyr基础的解决方案可能是：
#Additional condition has been added to check if month != 6
cbind(df, pvar) %>%
group_by(month) %>%
mutate(pvar = ifelse(pvar < mean(pvar) & month != 6, mean(pvar), pvar)) %>%
as.data.frame()
# vdate month col1 pvar
# 1 12-04-2015 4 12.0 9.30
# 2 13-04-2015 4 12.4 9.30
# 3 14-04-2015 4 14.3 12.00
# 4 15-04-2015 4 3.0 14.40
# 5 12-05-2015 5 5.3 4.65
# 6 13-05-2015 5 1.8 4.65
# 7 14-05-2015 5 7.6 7.80
# 8 15-05-2015 5 4.5 5.00
# 9 12-06-2015 6 7.6 16.00
# 10 13-06-2015 6 10.7 5.40
# 11 14-06-2015 6 12.0 18.00
# 12 15-06-2015 6 15.7 18.40
数据
vdate=c("12-04-2015","13-04-2015","14-04-2015","15-04-2015","12-05-2015",
"13-05-2015","14-05-2015","15-05-2015","12-06-2015","13-06-2015",
"14-06-2015","15-06-2015")
month=c(4,4,4,4,5,5,5,5,6,6,6,6)
col1=c(12,12.4,14.3,3,5.3,1.8,7.6,4.5,7.6,10.7,12,15.7)
df=data.frame(vdate,month,col1)
pvar=c(8.4,2.4,12,14.4,2.3,3.5,7.8,5,16,5.4,18,18.4)
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