rbind.fill: Combine data.frames by row, filling in missing columns.

Description Usage Arguments Details Value See Also Examples

View source: R/rbind-fill.r

Description

rbinds a list of data frames filling missing columns with NA.

Usage

1
2
## S3 method for class 'fill'
rbind(...)

Arguments

...

input data frames to row bind together. The first argument can be a list of data frames, in which case all other arguments are ignored. Any NULL inputs are silently dropped. If all inputs are NULL, the output is NULL.

Details

This is an enhancement to rbind that adds in columns that are not present in all inputs, accepts a list of data frames, and operates substantially faster.

Column names and types in the output will appear in the order in which they were encountered.

Unordered factor columns will have their levels unified and character data bound with factors will be converted to character. POSIXct data will be converted to be in the same time zone. Array and matrix columns must have identical dimensions after the row count. Aside from these there are no general checks that each column is of consistent data type.

Value

a single data frame

See Also

Other binding functions: rbind.fill.matrix()

Examples

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rbind.fill(mtcars[c("mpg", "wt")], mtcars[c("wt", "cyl")])

Example output

    mpg    wt cyl
1  21.0 2.620  NA
2  21.0 2.875  NA
3  22.8 2.320  NA
4  21.4 3.215  NA
5  18.7 3.440  NA
6  18.1 3.460  NA
7  14.3 3.570  NA
8  24.4 3.190  NA
9  22.8 3.150  NA
10 19.2 3.440  NA
11 17.8 3.440  NA
12 16.4 4.070  NA
13 17.3 3.730  NA
14 15.2 3.780  NA
15 10.4 5.250  NA
16 10.4 5.424  NA
17 14.7 5.345  NA
18 32.4 2.200  NA
19 30.4 1.615  NA
20 33.9 1.835  NA
21 21.5 2.465  NA
22 15.5 3.520  NA
23 15.2 3.435  NA
24 13.3 3.840  NA
25 19.2 3.845  NA
26 27.3 1.935  NA
27 26.0 2.140  NA
28 30.4 1.513  NA
29 15.8 3.170  NA
30 19.7 2.770  NA
31 15.0 3.570  NA
32 21.4 2.780  NA
33   NA 2.620   6
34   NA 2.875   6
35   NA 2.320   4
36   NA 3.215   6
37   NA 3.440   8
38   NA 3.460   6
39   NA 3.570   8
40   NA 3.190   4
41   NA 3.150   4
42   NA 3.440   6
43   NA 3.440   6
44   NA 4.070   8
45   NA 3.730   8
46   NA 3.780   8
47   NA 5.250   8
48   NA 5.424   8
49   NA 5.345   8
50   NA 2.200   4
51   NA 1.615   4
52   NA 1.835   4
53   NA 2.465   4
54   NA 3.520   8
55   NA 3.435   8
56   NA 3.840   8
57   NA 3.845   8
58   NA 1.935   4
59   NA 2.140   4
60   NA 1.513   4
61   NA 3.170   8
62   NA 2.770   6
63   NA 3.570   8
64   NA 2.780   4

plyr documentation built on March 3, 2020, 5:07 p.m.