I've try it...
But don't work.
> data1
1 2 3 4 5 6
5 0.2481509 0.2481509 1.240754 0.7444526 0.000000 0.9926034
10 2.5269063 1.2634532 1.263453 2.5269063 1.263453 2.5269063
15 0.0000000 6.6856351 3.342818 1.6714088 0.000000 1.6714088
20 3.3955301 6.7910603 0.000000 0.0000000 3.395530 3.3955301
25 17.6053685 17.6053685 0.000000 0.0000000 0.000000 5.8684562
30 0.0000000 0.0000000 9.145319 0.0000000 0.000000 9.1453187
35 13.2743249 0.0000000 26.548650 13.2743249 0.000000 0.0000000
40 0.0000000 0.0000000 73.195722 0.0000000 0.000000 0.0000000
45 0.0000000 24.2592465 0.000000 24.2592465 0.000000 0.0000000
50 0.0000000 62.3859139 155.964785 62.3859139 0.000000 31.1929569
55 39.1359376 117.4078128 39.135938 0.0000000 0.000000 0.0000000
60 0.0000000 96.2453820 0.000000 48.1226910 48.122691 0.0000000
65 0.0000000 58.1866603 0.000000 58.1866603 0.000000 0.0000000
70 0.0000000 0.0000000 0.000000 0.0000000 0.000000 0.0000000
75 163.3521313 0.0000000 81.676066 0.0000000 0.000000 0.0000000
80 0.0000000 0.0000000 0.000000 0.0000000 0.000000 0.0000000
85 0.0000000 0.0000000 109.858092 0.0000000 0.000000 0.0000000
90 0.0000000 0.0000000 0.000000 0.0000000 0.000000 0.0000000
95 0.0000000 0.0000000 0.000000 142.9800268 0.000000 142.9800268
100 161.4695650 0.0000000 0.000000 0.0000000 0.000000 0.0000000
105 0.0000000 0.0000000 0.000000 0.0000000 0.000000 0.0000000
110 0.0000000 202.4565276 0.000000 0.0000000 0.000000 0.0000000
> data2
1 4 5 6
5 0.00000 0.00000 0.00000 0.0000000
10 0.00000 0.00000 0.00000 0.5849502
15 0.00000 0.00000 0.00000 0.0000000
20 0.00000 0.00000 0.00000 0.0000000
25 0.00000 10.49815 0.00000 0.0000000
30 0.00000 0.00000 0.00000 0.0000000
35 11.66031 11.66031 46.64124 0.0000000
40 16.03441 0.00000 48.10322 16.0344054
45 21.26234 21.26234 63.78702 63.7870201
50 54.79779 54.79779 27.39890 27.3988967
55 103.49417 0.00000 0.00000 34.4980557
60 0.00000 0.00000 85.22630 42.6131524
65 0.00000 51.79699 0.00000 51.7969933
70 62.10195 0.00000 62.10195 0.0000000
75 0.00000 0.00000 0.00000 0.0000000
80 0.00000 0.00000 0.00000 0.0000000
85 0.00000 0.00000 0.00000 0.0000000
90 0.00000 0.00000 0.00000 0.0000000
95 0.00000 0.00000 0.00000 0.0000000
> m <- merge(data1, data2, by = 0, all = TRUE, sort = FALSE)
> m
Row.names 1.x 2 3 4.x 5.x
1 5 0.2481509 0.2481509 1.240754 0.7444526 0.000000
2 10 2.5269063 1.2634532 1.263453 2.5269063 1.263453
3 15 0.0000000 6.6856351 3.342818 1.6714088 0.000000
4 20 3.3955301 6.7910603 0.000000 0.0000000 3.395530
5 25 17.6053685 17.6053685 0.000000 0.0000000 0.000000
6 30 0.0000000 0.0000000 9.145319 0.0000000 0.000000
7 35 13.2743249 0.0000000 26.548650 13.2743249 0.000000
8 40 0.0000000 0.0000000 73.195722 0.0000000 0.000000
9 45 0.0000000 24.2592465 0.000000 24.2592465 0.000000
10 50 0.0000000 62.3859139 155.964785 62.3859139 0.000000
11 55 39.1359376 117.4078128 39.135938 0.0000000 0.000000
12 60 0.0000000 96.2453820 0.000000 48.1226910 48.122691
13 65 0.0000000 58.1866603 0.000000 58.1866603 0.000000
14 70 0.0000000 0.0000000 0.000000 0.0000000 0.000000
15 75 163.3521313 0.0000000 81.676066 0.0000000 0.000000
16 80 0.0000000 0.0000000 0.000000 0.0000000 0.000000
17 85 0.0000000 0.0000000 109.858092 0.0000000 0.000000
18 90 0.0000000 0.0000000 0.000000 0.0000000 0.000000
19 95 0.0000000 0.0000000 0.000000 142.9800268 0.000000
20 105 0.0000000 0.0000000 0.000000 0.0000000 0.000000
21 110 0.0000000 202.4565276 0.000000 0.0000000 0.000000
22 100 161.4695650 0.0000000 0.000000 0.0000000 0.000000
6.x 1.y 4.y 5.y 6.y
1 0.9926034 0.00000 0.00000 0.00000 0.0000000
2 2.5269063 0.00000 0.00000 0.00000 0.5849502
3 1.6714088 0.00000 0.00000 0.00000 0.0000000
4 3.3955301 0.00000 0.00000 0.00000 0.0000000
5 5.8684562 0.00000 10.49815 0.00000 0.0000000
6 9.1453187 0.00000 0.00000 0.00000 0.0000000
7 0.0000000 11.66031 11.66031 46.64124 0.0000000
8 0.0000000 16.03441 0.00000 48.10322 16.0344054
9 0.0000000 21.26234 21.26234 63.78702 63.7870201
10 31.1929569 54.79779 54.79779 27.39890 27.3988967
11 0.0000000 103.49417 0.00000 0.00000 34.4980557
12 0.0000000 0.00000 0.00000 85.22630 42.6131524
13 0.0000000 0.00000 51.79699 0.00000 51.7969933
14 0.0000000 62.10195 0.00000 62.10195 0.0000000
15 0.0000000 0.00000 0.00000 0.00000 0.0000000
16 0.0000000 0.00000 0.00000 0.00000 0.0000000
17 0.0000000 0.00000 0.00000 0.00000 0.0000000
18 0.0000000 0.00000 0.00000 0.00000 0.0000000
19 142.9800268 0.00000 0.00000 0.00000 0.0000000
20 0.0000000 NA NA NA NA
21 0.0000000 NA NA NA NA
22 0.0000000 NA NA NA NA
> sapply(unique(union(names(data1), names(data2))), function(n)Reduce('+',
> m[grep(n, names(m))]))
list()
>
2010/1/20 Henrique Dallazuanna <www...@gmail.com>:
> Try this:
>
>> m <- merge(data1, data2, by = 0, all = TRUE, sort = FALSE)
>> sapply(unique(union(names(data1), names(data2))), function(n)Reduce('+',
>> m[grep(n, names(m))]))
>
> On Wed, Jan 20, 2010 at 10:59 AM, Alfredo Alessandrini
> <alfreal...@gmail.com> wrote:
>> Hi,
>>
>> I've this dataframes:
>>
>>> data1
>> 1 2 3 4 5 6
>> 5 0.4963017 0 0 0.2481509 1.9852069 0.4963017
>> 10 0.0000000 0 0 0.0000000 0.6317266 0.0000000
>> 15 0.0000000 0 0 0.0000000 0.0000000 0.0000000
>> 20 0.0000000 0 0 3.3955301 0.0000000 0.0000000
>> 25 0.0000000 0 0 0.0000000 0.0000000 0.0000000
>> 30 0.0000000 0 0 0.0000000 0.0000000 0.0000000
>> 35 0.0000000 0 0 0.0000000 0.0000000 0.0000000
>>
>>> data2
>> 1 4 5 6
>> 5 0.00000 0.00000 0.00000 0.0000000
>> 10 0.00000 0.00000 0.00000 0.5849502
>> 15 0.00000 0.00000 0.00000 0.0000000
>> 20 0.00000 0.00000 0.00000 0.0000000
>> 25 0.00000 10.49815 0.00000 0.0000000
>>
>> Can I sum the dataframe, by colnames?
>>
>> The sum is:
>>
>> 1 2 3 4 5 6
>> 5 0.4963017 0 0 0.2481509 1.9852069 0.4963017
>> 10 0.0000000 0 0 0.0000000 0.6317266 0.5849502
>> 15 0.0000000 0 0 0.0000000 0.0000000 0.0000000
>> 20 0.0000000 0 0 3.3955301 0.0000000 0.0000000
>> 25 0.0000000 0 0 10.498150 0.0000000 0.0000000
>> 30 0.0000000 0 0 0.0000000 0.0000000 0.0000000
>> 35 0.0000000 0 0 0.0000000 0.0000000 0.0000000
>>
>>
>> Thanks,
>>
>> Alfredo
>>
>> ______________________________________________
>> R-help@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.
>>
>
>
>
> --
> Henrique Dallazuanna
> Curitiba-Paraná-Brasil
> 25° 25' 40" S 49° 16' 22" O
>
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and provide commented, minimal, self-contained, reproducible code.
