gglikert in R with grouping factors
i have a data frame in R that looks like this :
df
# A tibble: 150 × 7
grouping q1 q2 q3 q4 q5 q6
<chr> <fct> <fct> <fct> <fct> <fct> <fct>
1 A Disagree Strongly disagree Strongly agree Agree Agree Stro…
2 A Strongly disagree Agree Neither agree nor disagree Neither agree nor disagree Agree Stro…
3 A Neither agree nor disagree Disagree Strongly disagree Strongly agree Neit… Neit…
4 A Strongly disagree Neither agree nor disagree Agree Disagree Stro… Neit…
5 B Strongly agree Strongly disagree Strongly agree Disagree NA Agree
6 D Strongly disagree Neither agree nor disagree Agree Strongly agree Neit… Neit…
7 B Neither agree nor disagree Disagree Neither agree nor disagree Neither agree nor disagree Stro… Neit…
8 B Strongly disagree Strongly agree Neither agree nor disagree Agree Neit… Stro…
9 A Neither agree nor disagree Agree Strongly agree Strongly disagree Neit… Agree
10 D Strongly agree Disagree Agree Disagree Agree Neit…
# ℹ 140 more rows
# ℹ Use `print(n = ...)` to see more rows
i want to use gglikert from ggstats package to plot it but in the y axis to have the grouping factors / categories . How can i do it in R using gglikert() or ggplot2?
likert_levels <- c(
"Strongly disagree",
"Disagree",
"Neither agree nor disagree",
"Agree",
"Strongly agree"
)
df <-
tibble(
grouping = sample(c("A", "B", "C", "D"), 150, replace = TRUE),
q1 = sample(likert_levels, 150, replace = TRUE),
q2 = sample(likert_levels, 150, replace = TRUE, prob = 5:1),
q3 = sample(likert_levels, 150, replace = TRUE, prob = 1:5),
q4 = sample(likert_levels, 150, replace = TRUE, prob = 1:5),
q5 = sample(c(likert_levels, NA), 150, replace = TRUE),
q6 = sample(likert_levels, 150, replace = TRUE, prob = c(1, 0, 1, 1, 0))
) %>%
mutate(across(-grouping, ~ factor(.x, levels = likert_levels)))
df
Solution
I think you want the facet_rows argument.
gglikert(df, q1:q6, facet_rows = vars(grouping))
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