zhihuali
2008-Apr-17 19:00 UTC
[R] how to use a function in aggregate which accepts matrix and outputs matrix?
Dear netters, suppose I have a matrix X [1,] 'c1' 'r6' '150'[2,] 'c1' 'r4' '70'[3,] 'c1' 'r2' '20'[4,] 'c1' 'r5' '90'[5,] 'c2' 'r2' '20'[6,] 'c3' 'r1' '10'I want to apply some funciton to groups of rows by the first column.If the function is just to calculate the average X[,3], it will be easy: aggregate(as.numeric(X[,3]),by=list(X[,1]),mean)But the function I want to use is more complicated. It will take as input a matrix(X[rows in the same group,c(2,3)], do some computation, and output another matrixwith the dimension (y,3), where y depends on the input. And I'd like the resultto be a rbind of each of the subset outputs. aggregate can not do that because the function is supposed to take vectors and output scalars.How can I apply the complicated function to groups of a matrix? Thanks! Zhihua Li _________________________________________________________________ Windows Live Photo gallery ÊýÂëÏà»úµÄ³¬¼¶°é£¬ÇáËɹÜÀíºÍ±à¼ÕÕƬ£¬»¹ÄÜÖÆ×÷È«¾°ÃÀͼ£¡ http://get.live.cn/product/photo.html [[alternative HTML version deleted]]
jim holtman
2008-Apr-17 19:16 UTC
[R] how to use a function in aggregate which accepts matrix and outputs matrix?
Does something like this work for you? It is using 'lapply' with the indices of the rows:> x <- matrix(c( 'c1' , 'r6', '150', 'c1' , 'r4' ,'70' ,'c1' , 'r2' ,'20',+ 'c1' , 'r5' ,'90', 'c2' ,'r2' ,'20', 'c3' , 'r1' ,'10'), byrow=TRUE, ncol=3)> # use lapply > result <- lapply(split(seq(nrow(x)), x[,1]), function(.rows){+ c(x[.rows[1],1], length(.rows), mean(as.numeric(x[.rows,3]))) # return something + })> result$c1 [1] "c1" "4" "82.5" $c2 [1] "c2" "1" "20" $c3 [1] "c3" "1" "10"> do.call(rbind, result)[,1] [,2] [,3] c1 "c1" "4" "82.5" c2 "c2" "1" "20" c3 "c3" "1" "10" 2008/4/17 zhihuali <lzhtom at hotmail.com>:> > Dear netters, suppose I have a matrix X [1,] 'c1' 'r6' '150'[2,] 'c1' 'r4' '70'[3,] 'c1' 'r2' '20'[4,] 'c1' 'r5' '90'[5,] 'c2' 'r2' '20'[6,] 'c3' 'r1' '10'I want to apply some funciton to groups of rows by the first column.If the function is just to calculate the average X[,3], it will be easy: aggregate(as.numeric(X[,3]),by=list(X[,1]),mean)But the function I want to use is more complicated. It will take as input a matrix(X[rows in the same group,c(2,3)], do some computation, and output another matrixwith the dimension (y,3), where y depends on the input. And I'd like the resultto be a rbind of each of the subset outputs. aggregate can not do that because the function is supposed to take vectors and output scalars.How can I apply the complicated function to groups of a matrix? Thanks! Zhihua Li > _________________________________________________________________ > Windows Live Photo gallery ????????????????????????????? > http://get.live.cn/product/photo.html > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > >-- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve?
Seemingly Similar Threads
- how to run my R code in Mac OS X 10.5 Leopard
- How to estimate the parameters in a bivariate weibull distribution?
- interpolation and extremum location of a surface
- locate the rows in a dataframe with some criteria
- An R clause to bind dataframes under certain contions