reshape: Flexibly reshape data
> library(reshape)
Attaching package: 'reshape'
The following objects are masked from 'package:plyr':
rename, round_any
The following object is masked from 'package:dplyr':
rename
バージョン: 0.8.5
| 関数名 | 概略 |
|---|---|
cast |
Cast function |
colsplit |
Split a vector into multiple columns |
combine_factor |
Combine factor levels |
condense.df |
Condense a data frame |
expand.grid.df |
Expand grid |
french_fries |
Sensory data from a french fries experiment |
funstofun |
Aggregate multiple functions into a single function |
melt |
Melt |
melt.array |
Melt an array |
melt.data.frame |
Melt a data frame |
merge_all |
Merge all |
namerows |
Name rows |
recast |
Recast |
rename |
Rename |
rescaler |
Rescaler |
smiths |
Demo data describing the Smiths |
sort_df |
Sort data frame |
sparseby |
Apply a Function to a Data Frame split by levels of indices |
stamp |
Stamp |
tips |
Tipping data |
uniquedefault |
Unique default |
untable |
Untable a dataset |
cast
Arguments
- data
- formula
- fun.aggregate
- add.missing
- value
- ...
- margins
- subset
- df
- subset
- fill
> data("airquality")
> airquality %>% head()
Ozone Solar.R Wind Temp Month Day
1 41 190 7.4 67 5 1
2 36 118 8.0 72 5 2
3 12 149 12.6 74 5 3
4 18 313 11.5 62 5 4
5 NA NA 14.3 56 5 5
6 28 NA 14.9 66 5 6
> melt(airquality, id = c("Month", "Day"), na.rm = TRUE) %>% head()
Month Day variable value
1 5 1 Ozone 41
2 5 2 Ozone 36
3 5 3 Ozone 12
4 5 4 Ozone 18
5 5 6 Ozone 28
6 5 7 Ozone 23
colsplit
> iris$Species %>% colsplit(split = "sa", names = "aa")
aa
1 seto
2 seto
3 seto
4 seto
5 seto
6 seto
7 seto
8 seto
9 seto
10 seto
11 seto
12 seto
13 seto
14 seto
15 seto
16 seto
17 seto
18 seto
19 seto
20 seto
21 seto
22 seto
23 seto
24 seto
25 seto
26 seto
27 seto
28 seto
29 seto
30 seto
31 seto
32 seto
33 seto
34 seto
35 seto
36 seto
37 seto
38 seto
39 seto
40 seto
41 seto
42 seto
43 seto
44 seto
45 seto
46 seto
47 seto
48 seto
49 seto
50 seto
51 versicolor
52 versicolor
53 versicolor
54 versicolor
55 versicolor
56 versicolor
57 versicolor
58 versicolor
59 versicolor
60 versicolor
61 versicolor
62 versicolor
63 versicolor
64 versicolor
65 versicolor
66 versicolor
67 versicolor
68 versicolor
69 versicolor
70 versicolor
71 versicolor
72 versicolor
73 versicolor
74 versicolor
75 versicolor
76 versicolor
77 versicolor
78 versicolor
79 versicolor
80 versicolor
81 versicolor
82 versicolor
83 versicolor
84 versicolor
85 versicolor
86 versicolor
87 versicolor
88 versicolor
89 versicolor
90 versicolor
91 versicolor
92 versicolor
93 versicolor
94 versicolor
95 versicolor
96 versicolor
97 versicolor
98 versicolor
99 versicolor
100 versicolor
101 virginica
102 virginica
103 virginica
104 virginica
105 virginica
106 virginica
107 virginica
108 virginica
109 virginica
110 virginica
111 virginica
112 virginica
113 virginica
114 virginica
115 virginica
116 virginica
117 virginica
118 virginica
119 virginica
120 virginica
121 virginica
122 virginica
123 virginica
124 virginica
125 virginica
126 virginica
127 virginica
128 virginica
129 virginica
130 virginica
131 virginica
132 virginica
133 virginica
134 virginica
135 virginica
136 virginica
137 virginica
138 virginica
139 virginica
140 virginica
141 virginica
142 virginica
143 virginica
144 virginica
145 virginica
146 virginica
147 virginica
148 virginica
149 virginica
150 virginica
combine_factor
要因の組み合わせ
Arguments
- fac
- variable
- other.lavel
> df <- data.frame(a = LETTERS[sample(5, 15, replace=TRUE)], y = rnorm(15))
> df$a
[1] E A B A E C E B B C D C B E D
Levels: A B C D E
> combine_factor(df$a, variable = c(1, 2, 2, 1, 2))
[1] B A B A B B B B B B A B B B A
Levels: A B
melt
Arguments
- data
- ...
> data("airquality")
> airquality %>% head()
Ozone Solar.R Wind Temp Month Day
1 41 190 7.4 67 5 1
2 36 118 8.0 72 5 2
3 12 149 12.6 74 5 3
4 18 313 11.5 62 5 4
5 NA NA 14.3 56 5 5
6 28 NA 14.9 66 5 6
> melt(airquality, id = c("Month", "Day"), na.rm = TRUE) %>% head()
Month Day variable value
1 5 1 Ozone 41
2 5 2 Ozone 36
3 5 3 Ozone 12
4 5 4 Ozone 18
5 5 6 Ozone 28
6 5 7 Ozone 23