library(presenter)
library(dplyr)
set.seed(1)
%>%
iris relocate("Species") %>%
sample_n(10) %>%
arrange(Species) -> iris_slice
<- c("Sepal", "Petal")
header_words <- "Species"
last_id_col
make_flextable(iris_slice, header_words = header_words, last_id_col = last_id_col) -> myflex
myflex
Species | Sepal | Petal | ||
Length | Width | Length | Width | |
setosa | 4.40 | 3.20 | 1.30 | 0.20 |
4.30 | 3.00 | 1.10 | 0.10 | |
5.40 | 3.40 | 1.70 | 0.20 | |
4.60 | 3.40 | 1.40 | 0.30 | |
versicolor | 5.80 | 2.70 | 4.10 | 1.00 |
7.00 | 3.20 | 4.70 | 1.40 | |
5.40 | 3.00 | 4.50 | 1.50 | |
6.10 | 2.80 | 4.70 | 1.20 | |
virginica | 6.40 | 2.80 | 5.60 | 2.10 |
7.60 | 3.00 | 6.60 | 2.10 |
::tibble(my_letters = sample(letters[1:4], 100, T),
tibblemy_numbers = sample(1:4, 100, T)) -> cross_table
%>%
cross_table make_pivot_table(my_letters, my_numbers, theme = "tron") -> tron_cross_table
tron_cross_table
cross_table | my_numbers |
| ||||
1 | 2 | 3 | 4 | |||
my_letters | a | 6 | 8 | 7 | 5 | 26% (26) |
b | 8 | 8 | 10 | 3 | 29% (29) | |
c | 3 | 5 | 8 | 5 | 21% (21) | |
d | 6 | 3 | 6 | 9 | 24% (24) | |
| 23% (23) | 24% (24) | 31% (31) | 22% (22) | 100% (100) |
%>%
iris ::mutate(Species1 = stringr::str_c(Species, " very good")) %>%
dplyrmake_pivot_table(Species1, Species, show_percentages = "none", tbl_nm = "gold table", theme = "zebra_gold") -> tbl
tbl
gold_table | Species |
| |||
setosa | versicolor | virginica | |||
Species1 | setosa very good | 50 | 0 | 0 | 33% (50) |
versicolor very good | 0 | 50 | 0 | 33% (50) | |
virginica very good | 0 | 0 | 50 | 33% (50) | |
| 33% (50) | 33% (50) | 33% (50) | 100% (150) |
%>%
myflex export_powerpoint() # a new ppt is created, named after the table
%>%
tron_cross_table export_powerpoint("myflex.pptx") # append this slide to the previous ppt