Hello,
I´m using function aggregate in R 3.0.2. If I run the instruction
x<-aggregate(cbind(mpg,hp)~cyl+gear,data=mtcars,quantile) I get the
result the following data.frame:
cyl
gear
mpg.0%
mpg.25%
mpg.50%
mpg.75%
mpg.100%
hp.0%
hp.25%
hp.50%
hp.75%
hp.100%
4
3
21.5
21.5
21.5
21.5
21.5
97
97
97
97
97
6
3
18.1
18.925
19.75
20.575
21.4
105
106.25
107.5
108.75
110
8
3
10.4
14.05
15.2
16.625
19.2
150
175
180
218.75
245
4
4
21.4
22.8
25.85
30.9
33.9
52
64.25
66
93.5
109
6
4
17.8
18.85
20.1
21
21
110
110
116.5
123
123
4
5
26
27.1
28.2
29.3
30.4
91
96.5
102
107.5
113
6
5
19.7
19.7
19.7
19.7
19.7
175
175
175
175
175
8
5
15
15.2
15.4
15.6
15.8
264
281.75
299.5
317.25
335
So far so good, however the strange part happens when I run dim(x) or
names(x), because the results are 8 4 (dim(x)) and "cyl" "gear" "mpg"
"hp" (names(x)). Why this occurs and how do I transform it in a regular
data.frame with 12 columns?
Thank you in advance,
Daniel
> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: i386-w64-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=Portuguese_Portugal.1252
LC_CTYPE=Portuguese_Portugal.1252
LC_MONETARY=Portuguese_Portugal.1252 LC_NUMERIC=C
[5] LC_TIME=Portuguese_Portugal.1252
attached base packages:
[1] grDevices datasets splines graphics stats tcltk utils
methods base
other attached packages:
[1] svSocket_0.9-55 TinnR_1.0-5 R2HTML_2.2.1 Hmisc_3.12-2
Formula_1.1-1 survival_2.37-4
loaded via a namespace (and not attached):
[1] cluster_1.14.4 grid_3.0.2 lattice_0.20-23 rpart_4.1-3
svMisc_0.9-69 tools_3.0.2
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