在R中,如何为信息添加行:

时间:2010-04-20 13:40:21

标签: r statistics

我正在尝试在我的data.frame中添加一行来吐出列的平均值。

这是我的数据框:

              Weight Response
1   Control     59      0.0
2 Treatment     90      0.8
3 Treatment     47      0.1
4 Treamment    106      0.1
5   Control     85      0.7
6 Treatment     73      0.6
7   Control     61      0.2

我希望它成为:

              Weight Response
1   Control     59      0.0
2 Treatment     90      0.8
3 Treatment     47      0.1
4 Treamment    106      0.1
5   Control     85      0.7
6 Treatment     73      0.6
7   Control     61      0.2
8 AVERAGES      74      0.3

谢谢!

1 个答案:

答案 0 :(得分:7)

简单的一个:

rbind(data, AVERAGES=colMeans(data))

[编辑]如果您的data.frame包含除numeric之外的其他类型(例如factorcharacter),那么您可以使用更复杂但更安全的方法:

rbind(data, AVERAGES=as.data.frame(lapply(data, mean)))

简单示例:

data <- data.frame(
 x_Date = Sys.Date()+1:3,
 x_numeric = 1:3+.1,
 x_POSIXt = Sys.time()+1:3,
 x_factor = factor(letters[1:3]),
 x_character = letters[1:3],
 x_logical = c(TRUE,FALSE,TRUE),
 x_complex = 1i+1:3,
 stringsAsFactors = FALSE,
 row.names=paste("Row",1:3)
)

rbind(data, AVERAGES=as.data.frame(lapply(data , mean)))
# Warning in mean.default(X[[4L]], ...) :
  # argument is not numeric or logical: returning NA
# Calls: rbind -> as.data.frame -> lapply -> FUN -> mean.default
# Warning in mean.default(X[[5L]], ...) :
  # argument is not numeric or logical: returning NA
# Calls: rbind -> as.data.frame -> lapply -> FUN -> mean.default
             # x_Date x_numeric            x_POSIXt x_factor x_character x_logical x_complex
# Row 1    2010-04-21       1.1 2010-04-20 23:30:42        a           a  1.000000      1+1i
# Row 2    2010-04-22       2.1 2010-04-20 23:30:43        b           b  0.000000      2+1i
# Row 3    2010-04-23       3.1 2010-04-20 23:30:44        c           c  1.000000      3+1i
# AVERAGES 2010-04-22       2.1 2010-04-20 23:30:43     <NA>        <NA>  0.666667      2+1i

logical列转换为数字,而非数字列则转换为NA