Início / coding / Perguntas / 79204035
Accepted
Homer Jay Simpson
Asked: 2024-11-19 23:27:17 +0800 CST

Mesclando barras em um gráfico de barras usando ggplot 2 em R

  • 772

Tenho um quadro de dados chamado df que tem 3 colunas de níveis de escala Likert e uma coluna de filtro:

df
# A tibble: 50 × 4
   val1                   val2                   val3                var  
   <chr>                  <chr>                  <chr>               <chr>
 1 "Very \n Dissatisfied" "Neutral"              "Very \n Dissatisf… Yes  
 2 "Neutral"              "Neutral"              "Neutral"           No   
 3 "Dissatisfied"         "Satisfied"            "Neutral"           Yes  
 4 "Very \n Satisfied"    "Satisfied"            "Very \n Satisfied" Yes  
 5 "Very \n Dissatisfied" "Very \n Dissatisfied" "Neutral"           Yes  
 6 "Very \n Satisfied"    "Very \n Satisfied"    "Very \n Satisfied" Yes  
 7 "Dissatisfied"         "Neutral"              "Dissatisfied"      Yes  
 8 "Neutral"              "Satisfied"            "Neutral"           Yes  
 9 "Satisfied"            "Very \n Satisfied"    "Satisfied"         No   
10 "Neutral"              "Satisfied"            "Neutral"           Yes

a função resultante de uma pergunta anterior aqui

me dá o gráfico de barras com o mesmo valor. O que está correto.!! Tudo o que eu quero é que em vez de repetir isso 3 vezes (20,30 e 50), eu quero ter uma vez essa barra do gráfico certo. Não 3.

Isso é possível?

plot_fun <- function(x, y) {
  .data <- df |>
    filter(var %in% x)

  p1 <- .data |>
    ggstats::gglikert(include = -var) +
    aes(y = reorder(.question,
      ifelse(
        .answer %in% c("Very \n Dissatisfied", "Dissatisfied"),
        1, 0
      ),
      FUN = sum
    ), decreasing = TRUE) +
     facet_wrap(~paste0("var to ", y))+ scale_fill_manual(values = custom_colors) +
       theme(
        strip.text = element_text(size = 14,color = "black"),               # Increase facet label size
        axis.title = element_text(size = 14),               # Increase axis title size
        axis.text = element_text(size = 10))+               # Increase axis text size
    theme(strip.background = element_rect(color="black", fill="red", size=1.5, linetype="solid"))

  p2 <- .data %>%
    tidyr::pivot_longer(-var) |>
    filter(!is.na(value)) |> 
    mutate(
      name = reorder(name,
        ifelse(
          value %in% c("Very \n Dissatisfied", "Dissatisfied"),
          1, 0
        ),
        FUN = sum
      )
    ) |>
   ggplot(aes(y = name)) +
    geom_bar(fill = "lightgrey")+
    theme_light()+
    geom_text(aes(label = ..count..), 
              stat = "count",
              position=position_stack(vjust = 0.5))+
      theme(
    axis.text.y = element_blank(),
    axis.ticks.y = element_blank())

  
  list(p1, p2)
}

.include <- list(No = "No", Yes = "Yes", All = c("Yes", "No"))

purrr::imap(.include, plot_fun) |>
  purrr::reduce(c) |>
  wrap_plots(ncol = 2) +
  plot_layout(axes = "collect", guides = "collect", widths = c(.7, .3)) &
  labs(x = NULL, y = NULL) &
  theme(legend.position = "bottom")

Dados

 dput(df)
structure(list(val1 = c("Very \n Dissatisfied", "Neutral", "Dissatisfied", 
"Very \n Satisfied", "Very \n Dissatisfied", "Very \n Satisfied", 
"Dissatisfied", "Neutral", "Satisfied", "Neutral", "Very \n Dissatisfied", 
"Very \n Satisfied", "Very \n Dissatisfied", "Satisfied", "Neutral", 
"Very \n Dissatisfied", "Neutral", "Neutral", "Satisfied", "Neutral", 
"Very \n Satisfied", "Dissatisfied", "Dissatisfied", "Satisfied", 
"Neutral", "Dissatisfied", "Satisfied", "Very \n Dissatisfied", 
"Dissatisfied", "Very \n Dissatisfied", "Very \n Dissatisfied", 
"Dissatisfied", "Dissatisfied", "Dissatisfied", "Neutral", "Dissatisfied", 
"Dissatisfied", "Very \n Dissatisfied", "Satisfied", "Satisfied", 
"Neutral", "Very \n Dissatisfied", "Very \n Satisfied", "Very \n Dissatisfied", 
"Satisfied", "Very \n Dissatisfied", "Very \n Dissatisfied", 
"Satisfied", "Dissatisfied", "Dissatisfied"), val2 = c("Neutral", 
"Neutral", "Satisfied", "Satisfied", "Very \n Dissatisfied", 
"Very \n Satisfied", "Neutral", "Satisfied", "Very \n Satisfied", 
"Satisfied", "Very \n Dissatisfied", "Very \n Satisfied", "Satisfied", 
"Very \n Satisfied", "Satisfied", "Neutral", "Dissatisfied", 
"Satisfied", "Neutral", "Satisfied", "Satisfied", "Neutral", 
"Very \n Satisfied", "Very \n Satisfied", "Satisfied", "Satisfied", 
"Very \n Satisfied", "Satisfied", "Neutral", "Neutral", "Neutral", 
"Neutral", "Neutral", "Satisfied", "Satisfied", "Dissatisfied", 
"Neutral", "Satisfied", "Very \n Satisfied", "Satisfied", "Satisfied", 
"Very \n Dissatisfied", "Satisfied", "Neutral", "Satisfied", 
"Very \n Dissatisfied", "Neutral", "Satisfied", "Neutral", "Satisfied"
), val3 = c("Very \n Dissatisfied", "Neutral", "Neutral", "Very \n Satisfied", 
"Neutral", "Very \n Satisfied", "Dissatisfied", "Neutral", "Satisfied", 
"Neutral", "Very \n Dissatisfied", "Very \n Satisfied", "Very \n Dissatisfied", 
"Satisfied", "Neutral", "Very \n Dissatisfied", "Satisfied", 
"Neutral", "Satisfied", "Neutral", "Very \n Satisfied", "Neutral", 
"Satisfied", "Satisfied", "Neutral", "Dissatisfied", "Satisfied", 
"Very \n Satisfied", "Neutral", "Very \n Dissatisfied", "Very \n Dissatisfied", 
"Dissatisfied", "Satisfied", "Dissatisfied", "Dissatisfied", 
"Very \n Dissatisfied", "Dissatisfied", "Very \n Dissatisfied", 
"Satisfied", "Satisfied", "Neutral", "Very \n Dissatisfied", 
"Very \n Satisfied", "Very \n Dissatisfied", "Satisfied", "Very \n Dissatisfied", 
"Dissatisfied", "Satisfied", "Neutral", "Dissatisfied"), var = c("Yes", 
"No", "Yes", "Yes", "Yes", "Yes", "Yes", "Yes", "No", "Yes", 
"No", "No", "Yes", "No", "No", "No", "No", "No", "Yes", "No", 
"No", "Yes", "No", "No", "No", "Yes", "No", "No", "Yes", "No", 
"No", "No", "No", "No", "Yes", "No", "No", "No", "Yes", "No", 
"No", "Yes", "Yes", "No", "Yes", "Yes", "No", "No", "No", "Yes"
)), row.names = c(NA, -50L), class = c("tbl_df", "tbl", "data.frame"
))
likert_levels <- c(
  "Strongly disagree",
  "Disagree",
  "Neither agree nor disagree",
  "Agree",
  "Strongly agree"
)

insira a descrição da imagem aqui

1 respostas

  1. Best Answer

    Basta remover a parte giratória:

    library(tidyverse)
library(patchwork)

likert_levels <- c(
  "Very \n Dissatisfied", "Dissatisfied", "Neutral",
  "Satisfied", "Very \n Satisfied"
)

plot_fun <- function(x, y) {
  .data <- df |>
    filter(var %in% x) |>
    mutate(
      across(-var, ~ factor(.x, likert_levels))
    )

  p1 <- .data |>
    ggstats::gglikert(include = -var) +
    aes(y = reorder(.question,
      ifelse(
        .answer %in% c("Very \n Dissatisfied", "Dissatisfied"),
        1, 0
      ),
      FUN = sum
    ), decreasing = TRUE) +
    facet_wrap(~ paste0("var to ", y)) +
    # scale_fill_manual(values = custom_colors) +
    theme(
      strip.text = element_text(size = 14, color = "black"), # Increase facet label size
      axis.title = element_text(size = 14), # Increase axis title size
      axis.text = element_text(size = 10)
    ) + # Increase axis text size
    theme(strip.background = element_rect(color = "black", fill = "red", size = 1.5, linetype = "solid"))

  p2 <- .data %>%
    count() |> 
    ggplot(aes(y = factor(1), x = n)) +
    geom_col(fill = "lightgrey") +
    theme_light() +
    geom_text(aes(label = n),
      position = position_stack(vjust = 0.5)
    ) +
    theme(
      axis.text.y = element_blank(),
      axis.ticks.y = element_blank()
    )

  list(p1, p2)
}

.include <- list(No = "No", Yes = "Yes", All = c("Yes", "No"))

purrr::imap(.include, plot_fun) |>
  purrr::reduce(c) |>
  wrap_plots(ncol = 2) +
  plot_layout(guides = "collect", widths = c(.7, .3)) &
  labs(x = NULL, y = NULL) &
  theme(legend.position = "bottom")

    • 1

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