r - unexpected ddply() output. Not grouping -

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when calculate mean of numeric column using ddply output not expect:

ddply(df, .(df[,1]) summarize, sales = mean(df[,5]))

the output is: 

 df1[, 4]    sales 1 x01.01.2012 49761.36 2 x01.02.2012 49761.36 3 x01.03.2012 49761.36 4 x01.04.2012 49761.36 5 x01.05.2012 49761.36 6 x01.06.2012 49761.36

i not understand why mean same, though sorted date. not expected output given each date sales different. calculates mean of whole column.

the second argument should .(variable name). df[,1] refers values in column, not name of variable. same thing when use mean()

here's short example fake data, since did not supply any.

> df <- data.frame(val1 = 1:5, val2 = 6:10) > library(plyr) ## correct mean > ddply(df, .(val1, val2), summarize, mean = mean(c(val1, val2)))   val1 val2 mean 1    1    6  3.5 2    2    7  4.5 3    3    8  5.5 4    4    9  6.5 5    5   10  7.5 ## incorrect mean > ddply(df, .(df[,1], df[,2]), summarize, mean = mean(c(df[,1], df[,2])))   df[, 1] df[, 2] mean 1       1       6  5.5 2       2       7  5.5 3       3       8  5.5 4       4       9  5.5 5       5      10  5.5

if doesn't resolve issue, please provide sample of data can reproduce problem.


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