按组汇总R中数据框的所有数字列
我有一个数据帧，它具有由3个字符变量定义的唯一组按组汇总R中数据框的所有数字列,r,dataframe,plyr,mean,summary,R,Dataframe,Plyr,Mean,Summary,我有一个数据帧，它具有由3个字符变量定义的唯一组 catvars <- c("DATE", "COUNTRY_FULL_NAME", "TENOR") catvars我想你在找numcolwise ddply(diamonds,.(cut),numcolwise(mean,na.rm = TRUE)) cut carat depth table price x y z 1 Fair 1.0461
catvars <- c("DATE", "COUNTRY_FULL_NAME", "TENOR")
catvars我想你在找numcolwise
ddply(diamonds,.(cut),numcolwise(mean,na.rm = TRUE))
cut carat depth table price x y z
1 Fair 1.0461366 64.04168 59.05379 4358.758 6.246894 6.182652 3.982770
2 Good 0.8491847 62.36588 58.69464 3928.864 5.838785 5.850744 3.639507
3 Very Good 0.8063814 61.81828 57.95615 3981.760 5.740696 5.770026 3.559801
4 Premium 0.8919549 61.26467 58.74610 4584.258 5.973887 5.944879 3.647124
5 Ideal 0.7028370 61.70940 55.95167 3457.542 5.507451 5.520080 3.401448
非常感谢，这很有效。是否有方法指定要包含的数值变量？@ec0n0micus请参阅？colwise
和.cols
参数；但是那样的话，您必须手动指定列，或者编写自己的函数来测试每个列是否包含。
DFsum <- ddply(DF, catvars, summarize, X1mean = mean(X, na.rm=TRUE))
ddply(diamonds,.(cut),numcolwise(mean,na.rm = TRUE))
cut carat depth table price x y z
1 Fair 1.0461366 64.04168 59.05379 4358.758 6.246894 6.182652 3.982770
2 Good 0.8491847 62.36588 58.69464 3928.864 5.838785 5.850744 3.639507
3 Very Good 0.8063814 61.81828 57.95615 3981.760 5.740696 5.770026 3.559801
4 Premium 0.8919549 61.26467 58.74610 4584.258 5.973887 5.944879 3.647124
5 Ideal 0.7028370 61.70940 55.95167 3457.542 5.507451 5.520080 3.401448