Labels for pivot_format

Labels for pivot_format

Usage

pivot_labels(
  stats = "Statistic",
  n = "N",
  p = "%",
  p_col = "Col %",
  p_row = "Row %",
  rows = NULL,
  cols = NULL
)

Arguments

stats

Name of statistics column.

n

Count.

p

Percentage.

p_col

Column perc.

p_row

Row perc.

rows, cols

Labels for variables use as rows/cols.

Value

a list that can be use in pivot_format.

Examples

library(flexpivot)
library(magrittr)
data("nobel_laureates")

# Change labels displayed in table
nobel_laureates %>%
  pivot_table("category", "gender", na_label = "Manquant") %>%
  pivot_format(
    labels = pivot_labels(
      stats = "Statistique",
      n = "Effectif",
      p = "Pourcentage",
      p_col = "% colonne",
      p_row = "% ligne",
      rows = c("Categorie"),
      cols = "Genre"
    )
  )
Genre
Categorie
Statistique
male
female
Manquant
Total
Chemistry
Effectif
179
5
0
184
Pourcentage
18.8%
0.5%
0%
19.4%
% colonne
20.6%
9.3%
0%
19.4%
% ligne
97.3%
2.7%
0%
100%
Economic Sciences
Effectif
82
2
0
84
Pourcentage
8.6%
0.2%
0%
8.8%
% colonne
9.4%
3.7%
0%
8.8%
% ligne
97.6%
2.4%
0%
100%
Literature
Effectif
101
15
0
116
Pourcentage
10.6%
1.6%
0%
12.2%
% colonne
11.6%
27.8%
0%
12.2%
% ligne
87.1%
12.9%
0%
100%
Peace
Effectif
90
17
27
134
Pourcentage
9.5%
1.8%
2.8%
14.1%
% colonne
10.4%
31.5%
100%
14.1%
% ligne
67.2%
12.7%
20.1%
100%
Physics
Effectif
210
3
0
213
Pourcentage
22.1%
0.3%
0%
22.4%
% colonne
24.2%
5.6%
0%
22.4%
% ligne
98.6%
1.4%
0%
100%
Physiology or Medicine
Effectif
207
12
0
219
Pourcentage
21.8%
1.3%
0%
23%
% colonne
23.8%
22.2%
0%
23%
% ligne
94.5%
5.5%
0%
100%
Total
Effectif
869
54
27
950
Pourcentage
91.5%
5.7%
2.8%
100%
% colonne
100%
100%
100%
100%
% ligne
91.5%
5.7%
2.8%
100%