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iris
Sepal.LengthSepal.WidthPetal.LengthPetal.WidthSpecies
5.13.51.40.2setosa
4.93  1.40.2setosa
4.73.21.30.2setosa
4.63.11.50.2setosa
5  3.61.40.2setosa
5.43.91.70.4setosa
4.63.41.40.3setosa
5  3.41.50.2setosa
4.42.91.40.2setosa
4.93.11.50.1setosa
5.43.71.50.2setosa
4.83.41.60.2setosa
4.83  1.40.1setosa
4.33  1.10.1setosa
5.84  1.20.2setosa
5.74.41.50.4setosa
5.43.91.30.4setosa
5.13.51.40.3setosa
5.73.81.70.3setosa
5.13.81.50.3setosa
5.43.41.70.2setosa
5.13.71.50.4setosa
4.63.61  0.2setosa
5.13.31.70.5setosa
4.83.41.90.2setosa
5  3  1.60.2setosa
5  3.41.60.4setosa
5.23.51.50.2setosa
5.23.41.40.2setosa
4.73.21.60.2setosa
4.83.11.60.2setosa
5.43.41.50.4setosa
5.24.11.50.1setosa
5.54.21.40.2setosa
4.93.11.50.2setosa
5  3.21.20.2setosa
5.53.51.30.2setosa
4.93.61.40.1setosa
4.43  1.30.2setosa
5.13.41.50.2setosa
5  3.51.30.3setosa
4.52.31.30.3setosa
4.43.21.30.2setosa
5  3.51.60.6setosa
5.13.81.90.4setosa
4.83  1.40.3setosa
5.13.81.60.2setosa
4.63.21.40.2setosa
5.33.71.50.2setosa
5  3.31.40.2setosa
7  3.24.71.4versicolor
6.43.24.51.5versicolor
6.93.14.91.5versicolor
5.52.34  1.3versicolor
6.52.84.61.5versicolor
5.72.84.51.3versicolor
6.33.34.71.6versicolor
4.92.43.31  versicolor
6.62.94.61.3versicolor
5.22.73.91.4versicolor
5  2  3.51  versicolor
5.93  4.21.5versicolor
6  2.24  1  versicolor
6.12.94.71.4versicolor
5.62.93.61.3versicolor
6.73.14.41.4versicolor
5.63  4.51.5versicolor
5.82.74.11  versicolor
6.22.24.51.5versicolor
5.62.53.91.1versicolor
5.93.24.81.8versicolor
6.12.84  1.3versicolor
6.32.54.91.5versicolor
6.12.84.71.2versicolor
6.42.94.31.3versicolor
6.63  4.41.4versicolor
6.82.84.81.4versicolor
6.73  5  1.7versicolor
6  2.94.51.5versicolor
5.72.63.51  versicolor
5.52.43.81.1versicolor
5.52.43.71  versicolor
5.82.73.91.2versicolor
6  2.75.11.6versicolor
5.43  4.51.5versicolor
6  3.44.51.6versicolor
6.73.14.71.5versicolor
6.32.34.41.3versicolor
5.63  4.11.3versicolor
5.52.54  1.3versicolor
5.52.64.41.2versicolor
6.13  4.61.4versicolor
5.82.64  1.2versicolor
5  2.33.31  versicolor
5.62.74.21.3versicolor
5.73  4.21.2versicolor
5.72.94.21.3versicolor
6.22.94.31.3versicolor
5.12.53  1.1versicolor
5.72.84.11.3versicolor
6.33.36  2.5virginica
5.82.75.11.9virginica
7.13  5.92.1virginica
6.32.95.61.8virginica
6.53  5.82.2virginica
7.63  6.62.1virginica
4.92.54.51.7virginica
7.32.96.31.8virginica
6.72.55.81.8virginica
7.23.66.12.5virginica
6.53.25.12  virginica
6.42.75.31.9virginica
6.83  5.52.1virginica
5.72.55  2  virginica
5.82.85.12.4virginica
6.43.25.32.3virginica
6.53  5.51.8virginica
7.73.86.72.2virginica
7.72.66.92.3virginica
6  2.25  1.5virginica
6.93.25.72.3virginica
5.62.84.92  virginica
7.72.86.72  virginica
6.32.74.91.8virginica
6.73.35.72.1virginica
7.23.26  1.8virginica
6.22.84.81.8virginica
6.13  4.91.8virginica
6.42.85.62.1virginica
7.23  5.81.6virginica
7.42.86.11.9virginica
7.93.86.42  virginica
6.42.85.62.2virginica
6.32.85.11.5virginica
6.12.65.61.4virginica
7.73  6.12.3virginica
6.33.45.62.4virginica
6.43.15.51.8virginica
6  3  4.81.8virginica
6.93.15.42.1virginica
6.73.15.62.4virginica
6.93.15.12.3virginica
5.82.75.11.9virginica
6.83.25.92.3virginica
6.73.35.72.5virginica
6.73  5.22.3virginica
6.32.55  1.9virginica
6.53  5.22  virginica
6.23.45.42.3virginica
5.93  5.11.8virginica
1 / 1
iris %>%
group_by(Species)
## # A tibble: 150 x 5
## # Groups: Species [3]
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## <dbl> <dbl> <dbl> <dbl> <fct>
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
## 7 4.6 3.4 1.4 0.3 setosa
## 8 5 3.4 1.5 0.2 setosa
## 9 4.4 2.9 1.4 0.2 setosa
## 10 4.9 3.1 1.5 0.1 setosa
## # … with 140 more rows
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width)
## # A tibble: 150 x 5
## # Groups: Species [3]
## Species Sepal.Length Sepal.Width Petal.Length Petal.Width
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 setosa 5.1 3.5 1.4 0.2
## 2 setosa 4.9 3 1.4 0.2
## 3 setosa 4.7 3.2 1.3 0.2
## 4 setosa 4.6 3.1 1.5 0.2
## 5 setosa 5 3.6 1.4 0.2
## 6 setosa 5.4 3.9 1.7 0.4
## 7 setosa 4.6 3.4 1.4 0.3
## 8 setosa 5 3.4 1.5 0.2
## 9 setosa 4.4 2.9 1.4 0.2
## 10 setosa 4.9 3.1 1.5 0.1
## # … with 140 more rows
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5)
## # A tibble: 15 x 5
## # Groups: Species [3]
## Species Sepal.Length Sepal.Width Petal.Length Petal.Width
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 setosa 5.1 3.5 1.4 0.2
## 2 setosa 4.9 3 1.4 0.2
## 3 setosa 4.7 3.2 1.3 0.2
## 4 setosa 4.6 3.1 1.5 0.2
## 5 setosa 5 3.6 1.4 0.2
## 6 versicolor 7 3.2 4.7 1.4
## 7 versicolor 6.4 3.2 4.5 1.5
## 8 versicolor 6.9 3.1 4.9 1.5
## 9 versicolor 5.5 2.3 4 1.3
## 10 versicolor 6.5 2.8 4.6 1.5
## 11 virginica 6.3 3.3 6 2.5
## 12 virginica 5.8 2.7 5.1 1.9
## 13 virginica 7.1 3 5.9 2.1
## 14 virginica 6.3 2.9 5.6 1.8
## 15 virginica 6.5 3 5.8 2.2
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5) %>%
as_hux()
SpeciesSepal.LengthSepal.WidthPetal.LengthPetal.Width
setosa5.13.51.40.2
setosa4.93  1.40.2
setosa4.73.21.30.2
setosa4.63.11.50.2
setosa5  3.61.40.2
versicolor7  3.24.71.4
versicolor6.43.24.51.5
versicolor6.93.14.91.5
versicolor5.52.34  1.3
versicolor6.52.84.61.5
virginica6.33.36  2.5
virginica5.82.75.11.9
virginica7.13  5.92.1
virginica6.32.95.61.8
virginica6.53  5.82.2
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5) %>%
as_hux() %>%
set_tb_padding(2)
SpeciesSepal.LengthSepal.WidthPetal.LengthPetal.Width
setosa5.13.51.40.2
setosa4.93  1.40.2
setosa4.73.21.30.2
setosa4.63.11.50.2
setosa5  3.61.40.2
versicolor7  3.24.71.4
versicolor6.43.24.51.5
versicolor6.93.14.91.5
versicolor5.52.34  1.3
versicolor6.52.84.61.5
virginica6.33.36  2.5
virginica5.82.75.11.9
virginica7.13  5.92.1
virginica6.32.95.61.8
virginica6.53  5.82.2
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5) %>%
as_hux() %>%
set_tb_padding(2) %>%
set_contents(1, 2:5, c("Length", "Width", "Length", "Width"))
SpeciesLengthWidthLengthWidth
setosa5.13.51.40.2
setosa4.93  1.40.2
setosa4.73.21.30.2
setosa4.63.11.50.2
setosa5  3.61.40.2
versicolor7  3.24.71.4
versicolor6.43.24.51.5
versicolor6.93.14.91.5
versicolor5.52.34  1.3
versicolor6.52.84.61.5
virginica6.33.36  2.5
virginica5.82.75.11.9
virginica7.13  5.92.1
virginica6.32.95.61.8
virginica6.53  5.82.2
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5) %>%
as_hux() %>%
set_tb_padding(2) %>%
set_contents(1, 2:5, c("Length", "Width", "Length", "Width")) %>%
insert_row("", "Sepal", "", "Petal", "", after = 0)
SepalPetal
SpeciesLengthWidthLengthWidth
setosa5.13.51.40.2
setosa4.93  1.40.2
setosa4.73.21.30.2
setosa4.63.11.50.2
setosa5  3.61.40.2
versicolor7  3.24.71.4
versicolor6.43.24.51.5
versicolor6.93.14.91.5
versicolor5.52.34  1.3
versicolor6.52.84.61.5
virginica6.33.36  2.5
virginica5.82.75.11.9
virginica7.13  5.92.1
virginica6.32.95.61.8
virginica6.53  5.82.2
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5) %>%
as_hux() %>%
set_tb_padding(2) %>%
set_contents(1, 2:5, c("Length", "Width", "Length", "Width")) %>%
insert_row("", "Sepal", "", "Petal", "", after = 0) %>%
merge_cells(1, 2:3)
SepalPetal
SpeciesLengthWidthLengthWidth
setosa5.13.51.40.2
setosa4.93  1.40.2
setosa4.73.21.30.2
setosa4.63.11.50.2
setosa5  3.61.40.2
versicolor7  3.24.71.4
versicolor6.43.24.51.5
versicolor6.93.14.91.5
versicolor5.52.34  1.3
versicolor6.52.84.61.5
virginica6.33.36  2.5
virginica5.82.75.11.9
virginica7.13  5.92.1
virginica6.32.95.61.8
virginica6.53  5.82.2
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5) %>%
as_hux() %>%
set_tb_padding(2) %>%
set_contents(1, 2:5, c("Length", "Width", "Length", "Width")) %>%
insert_row("", "Sepal", "", "Petal", "", after = 0) %>%
merge_cells(1, 2:3) %>%
merge_cells(1, 4:5)
SepalPetal
SpeciesLengthWidthLengthWidth
setosa5.13.51.40.2
setosa4.93  1.40.2
setosa4.73.21.30.2
setosa4.63.11.50.2
setosa5  3.61.40.2
versicolor7  3.24.71.4
versicolor6.43.24.51.5
versicolor6.93.14.91.5
versicolor5.52.34  1.3
versicolor6.52.84.61.5
virginica6.33.36  2.5
virginica5.82.75.11.9
virginica7.13  5.92.1
virginica6.32.95.61.8
virginica6.53  5.82.2
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5) %>%
as_hux() %>%
set_tb_padding(2) %>%
set_contents(1, 2:5, c("Length", "Width", "Length", "Width")) %>%
insert_row("", "Sepal", "", "Petal", "", after = 0) %>%
merge_cells(1, 2:3) %>%
merge_cells(1, 4:5) %>%
set_align(1, everywhere, "center")
SepalPetal
SpeciesLengthWidthLengthWidth
setosa5.13.51.40.2
setosa4.93  1.40.2
setosa4.73.21.30.2
setosa4.63.11.50.2
setosa5  3.61.40.2
versicolor7  3.24.71.4
versicolor6.43.24.51.5
versicolor6.93.14.91.5
versicolor5.52.34  1.3
versicolor6.52.84.61.5
virginica6.33.36  2.5
virginica5.82.75.11.9
virginica7.13  5.92.1
virginica6.32.95.61.8
virginica6.53  5.82.2
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5) %>%
as_hux() %>%
set_tb_padding(2) %>%
set_contents(1, 2:5, c("Length", "Width", "Length", "Width")) %>%
insert_row("", "Sepal", "", "Petal", "", after = 0) %>%
merge_cells(1, 2:3) %>%
merge_cells(1, 4:5) %>%
set_align(1, everywhere, "center") %>%
set_tb_padding(1, everywhere, 0)
SepalPetal
SpeciesLengthWidthLengthWidth
setosa5.13.51.40.2
setosa4.93  1.40.2
setosa4.73.21.30.2
setosa4.63.11.50.2
setosa5  3.61.40.2
versicolor7  3.24.71.4
versicolor6.43.24.51.5
versicolor6.93.14.91.5
versicolor5.52.34  1.3
versicolor6.52.84.61.5
virginica6.33.36  2.5
virginica5.82.75.11.9
virginica7.13  5.92.1
virginica6.32.95.61.8
virginica6.53  5.82.2
1 / 1
iris %>%
group_by(Species) %>%
select(Species, Sepal.Length, Sepal.Width,
Petal.Length, Petal.Width) %>%
slice(1:5) %>%
as_hux() %>%
set_tb_padding(2) %>%
set_contents(1, 2:5, c("Length", "Width", "Length", "Width")) %>%
insert_row("", "Sepal", "", "Petal", "", after = 0) %>%
merge_cells(1, 2:3) %>%
merge_cells(1, 4:5) %>%
set_align(1, everywhere, "center") %>%
set_tb_padding(1, everywhere, 0) %>%
set_bold(1, everywhere)
SepalPetal
SpeciesLengthWidthLengthWidth
setosa5.13.51.40.2
setosa4.93  1.40.2
setosa4.73.21.30.2
setosa4.63.11.50.2
setosa5  3.61.40.2
versicolor7  3.24.71.4
versicolor6.43.24.51.5
versicolor6.93.14.91.5
versicolor5.52.34  1.3
versicolor6.52.84.61.5
virginica6.33.36  2.5
virginica5.82.75.11.9
virginica7.13  5.92.1
virginica6.32.95.61.8
virginica6.53  5.82.2
1 / 1
iris %>%
group_by(Species)
## # A tibble: 150 x 5
## # Groups: Species [3]
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## <dbl> <dbl> <dbl> <dbl> <fct>
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
## 7 4.6 3.4 1.4 0.3 setosa
## 8 5 3.4 1.5 0.2 setosa
## 9 4.4 2.9 1.4 0.2 setosa
## 10 4.9 3.1 1.5 0.1 setosa
## # … with 140 more rows
1 / 1
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