tests/testthat/_snaps/freq-vector-classes.md
In MartinLBarron/freqR: Simple Frequency Tables
Works with factors
Code
freq(iris, Species, plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
Species Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
setosa 50 33.3 50 33.3
versicolor 50 33.3 100 66.7
virginica 50 33.3 150 100.0
────────────────────────────────────────────────────────────
Total 150 100%
════════════════════════════════════════════════════════════
Works with Character
Code
freq(as.character(iris$Species), plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
Species) Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
setosa 50 33.3 50 33.3
versicolor 50 33.3 100 66.7
virginica 50 33.3 150 100.0
────────────────────────────────────────────────────────────
Total 150 100%
════════════════════════════════════════════════════════════
Works with character2
Code
freq(df, x, plot = F, markdown = F)
Output
═══════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
───────────────────────────────────────────────────────
D 3 37.5 3 37.5
A 2 25.0 5 62.5
B 1 12.5 6 75.0
C 1 12.5 7 87.5
<NA> 1 12.5 8 100.0
───────────────────────────────────────────────────────
Total 8 100%
═══════════════════════════════════════════════════════
Works with Numeric
Code
freq(iris, Sepal.Width, plot = F, markdown = F)
Output
═════════════════════════════════════════════════════════════
Sepal.Width Freq % Cum. Freq Cum. %
─────────────────────────────────────────────────────────────
3 26 17.3 26 17.3
2.8 14 9.3 40 26.7
3.2 13 8.7 53 35.3
3.4 12 8.0 65 43.3
3.1 11 7.3 76 50.7
2.9 10 6.7 86 57.3
2.7 9 6.0 95 63.3
2.5 8 5.3 103 68.7
3.3 6 4.0 109 72.7
3.5 6 4.0 115 76.7
3.8 6 4.0 121 80.7
2.6 5 3.3 126 84.0
2.3 4 2.7 130 86.7
3.6 4 2.7 134 89.3
2.2 3 2.0 137 91.3
2.4 3 2.0 140 93.3
3.7 3 2.0 143 95.3
3.9 2 1.3 145 96.7
2 1 0.7 146 97.3
4 1 0.7 147 98.0
4.1 1 0.7 148 98.7
4.2 1 0.7 149 99.3
4.4 1 0.7 150 100.0
─────────────────────────────────────────────────────────────
Total 150 100%
═════════════════════════════════════════════════════════════
Works with numeric2
Code
freq(df, x, plot = F, markdown = F)
Output
═══════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
───────────────────────────────────────────────────────
2 3 33.3 3 33.3
3 3 33.3 6 66.7
1 2 22.2 8 88.9
4 1 11.1 9 100.0
───────────────────────────────────────────────────────
Total 9 100%
═══════════════════════════════════════════════════════
Works with Dates
Code
freq(df$dt, plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
dt Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
1949-01-01 1 0.7 1 0.7
1949-02-01 1 0.7 2 1.4
1949-03-01 1 0.7 3 2.1
1949-04-01 1 0.7 4 2.8
1949-05-01 1 0.7 5 3.5
1949-06-01 1 0.7 6 4.2
1949-07-01 1 0.7 7 4.9
1949-08-01 1 0.7 8 5.6
1949-09-01 1 0.7 9 6.2
1949-10-01 1 0.7 10 6.9
1949-11-01 1 0.7 11 7.6
1949-12-01 1 0.7 12 8.3
1950-01-01 1 0.7 13 9.0
1950-02-01 1 0.7 14 9.7
1950-03-01 1 0.7 15 10.4
1950-04-01 1 0.7 16 11.1
1950-05-01 1 0.7 17 11.8
1950-06-01 1 0.7 18 12.5
1950-07-01 1 0.7 19 13.2
1950-08-01 1 0.7 20 13.9
1950-09-01 1 0.7 21 14.6
1950-10-01 1 0.7 22 15.3
1950-11-01 1 0.7 23 16.0
1950-12-01 1 0.7 24 16.7
1951-01-01 1 0.7 25 17.4
1951-02-01 1 0.7 26 18.1
1951-03-01 1 0.7 27 18.8
1951-04-01 1 0.7 28 19.4
1951-05-01 1 0.7 29 20.1
1951-06-01 1 0.7 30 20.8
1951-07-01 1 0.7 31 21.5
1951-08-01 1 0.7 32 22.2
1951-09-01 1 0.7 33 22.9
1951-10-01 1 0.7 34 23.6
1951-11-01 1 0.7 35 24.3
1951-12-01 1 0.7 36 25.0
1952-01-01 1 0.7 37 25.7
1952-02-01 1 0.7 38 26.4
1952-03-01 1 0.7 39 27.1
1952-04-01 1 0.7 40 27.8
1952-05-01 1 0.7 41 28.5
1952-06-01 1 0.7 42 29.2
1952-07-01 1 0.7 43 29.9
1952-08-01 1 0.7 44 30.6
1952-09-01 1 0.7 45 31.2
1952-10-01 1 0.7 46 31.9
1952-11-01 1 0.7 47 32.6
1952-12-01 1 0.7 48 33.3
1953-01-01 1 0.7 49 34.0
1953-02-01 1 0.7 50 34.7
1953-03-01 1 0.7 51 35.4
1953-04-01 1 0.7 52 36.1
1953-05-01 1 0.7 53 36.8
1953-06-01 1 0.7 54 37.5
1953-07-01 1 0.7 55 38.2
1953-08-01 1 0.7 56 38.9
1953-09-01 1 0.7 57 39.6
1953-10-01 1 0.7 58 40.3
1953-11-01 1 0.7 59 41.0
1953-12-01 1 0.7 60 41.7
1954-01-01 1 0.7 61 42.4
1954-02-01 1 0.7 62 43.1
1954-03-01 1 0.7 63 43.8
1954-04-01 1 0.7 64 44.4
1954-05-01 1 0.7 65 45.1
1954-06-01 1 0.7 66 45.8
1954-07-01 1 0.7 67 46.5
1954-08-01 1 0.7 68 47.2
1954-09-01 1 0.7 69 47.9
1954-10-01 1 0.7 70 48.6
1954-11-01 1 0.7 71 49.3
1954-12-01 1 0.7 72 50.0
1955-01-01 1 0.7 73 50.7
1955-02-01 1 0.7 74 51.4
1955-03-01 1 0.7 75 52.1
1955-04-01 1 0.7 76 52.8
1955-05-01 1 0.7 77 53.5
1955-06-01 1 0.7 78 54.2
1955-07-01 1 0.7 79 54.9
1955-08-01 1 0.7 80 55.6
1955-09-01 1 0.7 81 56.2
1955-10-01 1 0.7 82 56.9
1955-11-01 1 0.7 83 57.6
1955-12-01 1 0.7 84 58.3
1956-01-01 1 0.7 85 59.0
1956-02-01 1 0.7 86 59.7
1956-03-01 1 0.7 87 60.4
1956-04-01 1 0.7 88 61.1
1956-05-01 1 0.7 89 61.8
1956-06-01 1 0.7 90 62.5
1956-07-01 1 0.7 91 63.2
1956-08-01 1 0.7 92 63.9
1956-09-01 1 0.7 93 64.6
1956-10-01 1 0.7 94 65.3
1956-11-01 1 0.7 95 66.0
1956-12-01 1 0.7 96 66.7
1957-01-01 1 0.7 97 67.4
1957-02-01 1 0.7 98 68.1
1957-03-01 1 0.7 99 68.8
1957-04-01 1 0.7 100 69.4
1957-05-01 1 0.7 101 70.1
1957-06-01 1 0.7 102 70.8
1957-07-01 1 0.7 103 71.5
1957-08-01 1 0.7 104 72.2
1957-09-01 1 0.7 105 72.9
1957-10-01 1 0.7 106 73.6
1957-11-01 1 0.7 107 74.3
1957-12-01 1 0.7 108 75.0
1958-01-01 1 0.7 109 75.7
1958-02-01 1 0.7 110 76.4
1958-03-01 1 0.7 111 77.1
1958-04-01 1 0.7 112 77.8
1958-05-01 1 0.7 113 78.5
1958-06-01 1 0.7 114 79.2
1958-07-01 1 0.7 115 79.9
1958-08-01 1 0.7 116 80.6
1958-09-01 1 0.7 117 81.2
1958-10-01 1 0.7 118 81.9
1958-11-01 1 0.7 119 82.6
1958-12-01 1 0.7 120 83.3
1959-01-01 1 0.7 121 84.0
1959-02-01 1 0.7 122 84.7
1959-03-01 1 0.7 123 85.4
1959-04-01 1 0.7 124 86.1
1959-05-01 1 0.7 125 86.8
1959-06-01 1 0.7 126 87.5
1959-07-01 1 0.7 127 88.2
1959-08-01 1 0.7 128 88.9
1959-09-01 1 0.7 129 89.6
1959-10-01 1 0.7 130 90.3
1959-11-01 1 0.7 131 91.0
1959-12-01 1 0.7 132 91.7
1960-01-01 1 0.7 133 92.4
1960-02-01 1 0.7 134 93.1
1960-03-01 1 0.7 135 93.8
1960-04-01 1 0.7 136 94.4
1960-05-01 1 0.7 137 95.1
1960-06-01 1 0.7 138 95.8
1960-07-01 1 0.7 139 96.5
1960-08-01 1 0.7 140 97.2
1960-09-01 1 0.7 141 97.9
1960-10-01 1 0.7 142 98.6
1960-11-01 1 0.7 143 99.3
1960-12-01 1 0.7 144 100.0
────────────────────────────────────────────────────────────
Total 144 100%
════════════════════════════════════════════════════════════
Works with dates2
Code
freq(df, x, plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
2021-01-01 3 37.5 3 37.5
2023-01-01 3 37.5 6 75.0
2022-01-01 2 25.0 8 100.0
────────────────────────────────────────────────────────────
Total 8 100%
════════════════════════════════════════════════════════════
Works with Times
Code
freq(df$time, plot = F, markdown = F)
Output
═════════════════════════════════════════════════════════════════════
time Freq % Cum. Freq Cum. %
─────────────────────────────────────────────────────────────────────
1969-12-31 18:00:03 3 50.0 3 50.0
1969-12-31 18:00:01 1 16.7 4 66.7
1969-12-31 18:00:02 1 16.7 5 83.3
1969-12-31 18:00:04 1 16.7 6 100.0
─────────────────────────────────────────────────────────────────────
Total 6 100%
═════════════════════════════════════════════════════════════════════
Works with POSIXct
Code
freq(df, x, plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
2021-01-01 3 37.5 3 37.5
2023-01-01 3 37.5 6 75.0
2022-01-01 2 25.0 8 100.0
────────────────────────────────────────────────────────────
Total 8 100%
════════════════════════════════════════════════════════════
Works with logical
Code
freq(x, plot = F, markdown = F)
Output
═══════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
───────────────────────────────────────────────────────
FALSE 6 60.0 6 60.0
TRUE 4 40.0 10 100.0
───────────────────────────────────────────────────────
Total 10 100%
═══════════════════════════════════════════════════════
Works with complex
Code
freq(df, x, plot = F, markdown = F)
Output
═══════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
───────────────────────────────────────────────────────
0+2i 3 33.3 3 33.3
0+3i 3 33.3 6 66.7
0+1i 2 22.2 8 88.9
0+4i 1 11.1 9 100.0
───────────────────────────────────────────────────────
Total 9 100%
═══════════════════════════════════════════════════════
MartinLBarron/freqR documentation built on Aug. 28, 2023, 12:05 p.m.
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Works with factors
Code
freq(iris, Species, plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
Species Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
setosa 50 33.3 50 33.3
versicolor 50 33.3 100 66.7
virginica 50 33.3 150 100.0
────────────────────────────────────────────────────────────
Total 150 100%
════════════════════════════════════════════════════════════
Works with Character
Code
freq(as.character(iris$Species), plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
Species) Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
setosa 50 33.3 50 33.3
versicolor 50 33.3 100 66.7
virginica 50 33.3 150 100.0
────────────────────────────────────────────────────────────
Total 150 100%
════════════════════════════════════════════════════════════
Works with character2
Code
freq(df, x, plot = F, markdown = F)
Output
═══════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
───────────────────────────────────────────────────────
D 3 37.5 3 37.5
A 2 25.0 5 62.5
B 1 12.5 6 75.0
C 1 12.5 7 87.5
<NA> 1 12.5 8 100.0
───────────────────────────────────────────────────────
Total 8 100%
═══════════════════════════════════════════════════════
Works with Numeric
Code
freq(iris, Sepal.Width, plot = F, markdown = F)
Output
═════════════════════════════════════════════════════════════
Sepal.Width Freq % Cum. Freq Cum. %
─────────────────────────────────────────────────────────────
3 26 17.3 26 17.3
2.8 14 9.3 40 26.7
3.2 13 8.7 53 35.3
3.4 12 8.0 65 43.3
3.1 11 7.3 76 50.7
2.9 10 6.7 86 57.3
2.7 9 6.0 95 63.3
2.5 8 5.3 103 68.7
3.3 6 4.0 109 72.7
3.5 6 4.0 115 76.7
3.8 6 4.0 121 80.7
2.6 5 3.3 126 84.0
2.3 4 2.7 130 86.7
3.6 4 2.7 134 89.3
2.2 3 2.0 137 91.3
2.4 3 2.0 140 93.3
3.7 3 2.0 143 95.3
3.9 2 1.3 145 96.7
2 1 0.7 146 97.3
4 1 0.7 147 98.0
4.1 1 0.7 148 98.7
4.2 1 0.7 149 99.3
4.4 1 0.7 150 100.0
─────────────────────────────────────────────────────────────
Total 150 100%
═════════════════════════════════════════════════════════════
Works with numeric2
Code
freq(df, x, plot = F, markdown = F)
Output
═══════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
───────────────────────────────────────────────────────
2 3 33.3 3 33.3
3 3 33.3 6 66.7
1 2 22.2 8 88.9
4 1 11.1 9 100.0
───────────────────────────────────────────────────────
Total 9 100%
═══════════════════════════════════════════════════════
Works with Dates
Code
freq(df$dt, plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
dt Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
1949-01-01 1 0.7 1 0.7
1949-02-01 1 0.7 2 1.4
1949-03-01 1 0.7 3 2.1
1949-04-01 1 0.7 4 2.8
1949-05-01 1 0.7 5 3.5
1949-06-01 1 0.7 6 4.2
1949-07-01 1 0.7 7 4.9
1949-08-01 1 0.7 8 5.6
1949-09-01 1 0.7 9 6.2
1949-10-01 1 0.7 10 6.9
1949-11-01 1 0.7 11 7.6
1949-12-01 1 0.7 12 8.3
1950-01-01 1 0.7 13 9.0
1950-02-01 1 0.7 14 9.7
1950-03-01 1 0.7 15 10.4
1950-04-01 1 0.7 16 11.1
1950-05-01 1 0.7 17 11.8
1950-06-01 1 0.7 18 12.5
1950-07-01 1 0.7 19 13.2
1950-08-01 1 0.7 20 13.9
1950-09-01 1 0.7 21 14.6
1950-10-01 1 0.7 22 15.3
1950-11-01 1 0.7 23 16.0
1950-12-01 1 0.7 24 16.7
1951-01-01 1 0.7 25 17.4
1951-02-01 1 0.7 26 18.1
1951-03-01 1 0.7 27 18.8
1951-04-01 1 0.7 28 19.4
1951-05-01 1 0.7 29 20.1
1951-06-01 1 0.7 30 20.8
1951-07-01 1 0.7 31 21.5
1951-08-01 1 0.7 32 22.2
1951-09-01 1 0.7 33 22.9
1951-10-01 1 0.7 34 23.6
1951-11-01 1 0.7 35 24.3
1951-12-01 1 0.7 36 25.0
1952-01-01 1 0.7 37 25.7
1952-02-01 1 0.7 38 26.4
1952-03-01 1 0.7 39 27.1
1952-04-01 1 0.7 40 27.8
1952-05-01 1 0.7 41 28.5
1952-06-01 1 0.7 42 29.2
1952-07-01 1 0.7 43 29.9
1952-08-01 1 0.7 44 30.6
1952-09-01 1 0.7 45 31.2
1952-10-01 1 0.7 46 31.9
1952-11-01 1 0.7 47 32.6
1952-12-01 1 0.7 48 33.3
1953-01-01 1 0.7 49 34.0
1953-02-01 1 0.7 50 34.7
1953-03-01 1 0.7 51 35.4
1953-04-01 1 0.7 52 36.1
1953-05-01 1 0.7 53 36.8
1953-06-01 1 0.7 54 37.5
1953-07-01 1 0.7 55 38.2
1953-08-01 1 0.7 56 38.9
1953-09-01 1 0.7 57 39.6
1953-10-01 1 0.7 58 40.3
1953-11-01 1 0.7 59 41.0
1953-12-01 1 0.7 60 41.7
1954-01-01 1 0.7 61 42.4
1954-02-01 1 0.7 62 43.1
1954-03-01 1 0.7 63 43.8
1954-04-01 1 0.7 64 44.4
1954-05-01 1 0.7 65 45.1
1954-06-01 1 0.7 66 45.8
1954-07-01 1 0.7 67 46.5
1954-08-01 1 0.7 68 47.2
1954-09-01 1 0.7 69 47.9
1954-10-01 1 0.7 70 48.6
1954-11-01 1 0.7 71 49.3
1954-12-01 1 0.7 72 50.0
1955-01-01 1 0.7 73 50.7
1955-02-01 1 0.7 74 51.4
1955-03-01 1 0.7 75 52.1
1955-04-01 1 0.7 76 52.8
1955-05-01 1 0.7 77 53.5
1955-06-01 1 0.7 78 54.2
1955-07-01 1 0.7 79 54.9
1955-08-01 1 0.7 80 55.6
1955-09-01 1 0.7 81 56.2
1955-10-01 1 0.7 82 56.9
1955-11-01 1 0.7 83 57.6
1955-12-01 1 0.7 84 58.3
1956-01-01 1 0.7 85 59.0
1956-02-01 1 0.7 86 59.7
1956-03-01 1 0.7 87 60.4
1956-04-01 1 0.7 88 61.1
1956-05-01 1 0.7 89 61.8
1956-06-01 1 0.7 90 62.5
1956-07-01 1 0.7 91 63.2
1956-08-01 1 0.7 92 63.9
1956-09-01 1 0.7 93 64.6
1956-10-01 1 0.7 94 65.3
1956-11-01 1 0.7 95 66.0
1956-12-01 1 0.7 96 66.7
1957-01-01 1 0.7 97 67.4
1957-02-01 1 0.7 98 68.1
1957-03-01 1 0.7 99 68.8
1957-04-01 1 0.7 100 69.4
1957-05-01 1 0.7 101 70.1
1957-06-01 1 0.7 102 70.8
1957-07-01 1 0.7 103 71.5
1957-08-01 1 0.7 104 72.2
1957-09-01 1 0.7 105 72.9
1957-10-01 1 0.7 106 73.6
1957-11-01 1 0.7 107 74.3
1957-12-01 1 0.7 108 75.0
1958-01-01 1 0.7 109 75.7
1958-02-01 1 0.7 110 76.4
1958-03-01 1 0.7 111 77.1
1958-04-01 1 0.7 112 77.8
1958-05-01 1 0.7 113 78.5
1958-06-01 1 0.7 114 79.2
1958-07-01 1 0.7 115 79.9
1958-08-01 1 0.7 116 80.6
1958-09-01 1 0.7 117 81.2
1958-10-01 1 0.7 118 81.9
1958-11-01 1 0.7 119 82.6
1958-12-01 1 0.7 120 83.3
1959-01-01 1 0.7 121 84.0
1959-02-01 1 0.7 122 84.7
1959-03-01 1 0.7 123 85.4
1959-04-01 1 0.7 124 86.1
1959-05-01 1 0.7 125 86.8
1959-06-01 1 0.7 126 87.5
1959-07-01 1 0.7 127 88.2
1959-08-01 1 0.7 128 88.9
1959-09-01 1 0.7 129 89.6
1959-10-01 1 0.7 130 90.3
1959-11-01 1 0.7 131 91.0
1959-12-01 1 0.7 132 91.7
1960-01-01 1 0.7 133 92.4
1960-02-01 1 0.7 134 93.1
1960-03-01 1 0.7 135 93.8
1960-04-01 1 0.7 136 94.4
1960-05-01 1 0.7 137 95.1
1960-06-01 1 0.7 138 95.8
1960-07-01 1 0.7 139 96.5
1960-08-01 1 0.7 140 97.2
1960-09-01 1 0.7 141 97.9
1960-10-01 1 0.7 142 98.6
1960-11-01 1 0.7 143 99.3
1960-12-01 1 0.7 144 100.0
────────────────────────────────────────────────────────────
Total 144 100%
════════════════════════════════════════════════════════════
Works with dates2
Code
freq(df, x, plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
2021-01-01 3 37.5 3 37.5
2023-01-01 3 37.5 6 75.0
2022-01-01 2 25.0 8 100.0
────────────────────────────────────────────────────────────
Total 8 100%
════════════════════════════════════════════════════════════
Works with Times
Code
freq(df$time, plot = F, markdown = F)
Output
═════════════════════════════════════════════════════════════════════
time Freq % Cum. Freq Cum. %
─────────────────────────────────────────────────────────────────────
1969-12-31 18:00:03 3 50.0 3 50.0
1969-12-31 18:00:01 1 16.7 4 66.7
1969-12-31 18:00:02 1 16.7 5 83.3
1969-12-31 18:00:04 1 16.7 6 100.0
─────────────────────────────────────────────────────────────────────
Total 6 100%
═════════════════════════════════════════════════════════════════════
Works with POSIXct
Code
freq(df, x, plot = F, markdown = F)
Output
════════════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
────────────────────────────────────────────────────────────
2021-01-01 3 37.5 3 37.5
2023-01-01 3 37.5 6 75.0
2022-01-01 2 25.0 8 100.0
────────────────────────────────────────────────────────────
Total 8 100%
════════════════════════════════════════════════════════════
Works with logical
Code
freq(x, plot = F, markdown = F)
Output
═══════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
───────────────────────────────────────────────────────
FALSE 6 60.0 6 60.0
TRUE 4 40.0 10 100.0
───────────────────────────────────────────────────────
Total 10 100%
═══════════════════════════════════════════════════════
Works with complex
Code
freq(df, x, plot = F, markdown = F)
Output
═══════════════════════════════════════════════════════
x Freq % Cum. Freq Cum. %
───────────────────────────────────────────────────────
0+2i 3 33.3 3 33.3
0+3i 3 33.3 6 66.7
0+1i 2 22.2 8 88.9
0+4i 1 11.1 9 100.0
───────────────────────────────────────────────────────
Total 9 100%
═══════════════════════════════════════════════════════
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