> dput(df_male)
structure(list(Question = structure(c(1L, 2L, 3L, 1L, 2L, 3L), .Label = c("Q1",
"Q2", "Q3", "Q4", "Q5", "Q6", "Q7", "Q8"), class = "factor"),
Response = structure(c(1L, 1L, 1L, 2L, 2L, 2L), .Label = c("No",
"Yes"), class = "factor"), Proportion = c(0.569230769230769,
0.569230769230769, 0.492307692307692, 0.430769230769231,
0.430769230769231, 0.507692307692308)), .Names = c("Question",
"Response", "Proportion"), row.names = c(1L, 2L, 3L, 9L, 10L,
11L), class = "data.frame")
> dput(df_female)
structure(list(Question = structure(c(1L, 2L, 3L, 1L, 2L, 3L), .Label = c("Q1",
"Q2", "Q3", "Q4", "Q5", "Q6", "Q7", "Q8"), class = "factor"),
Response = structure(c(1L, 1L, 1L, 2L, 2L, 2L), .Label = c("No",
"Yes"), class = "factor"), Proportion = c(0.603092783505155,
0.65979381443299, 0.54639175257732, 0.396907216494845, 0.34020618556701,
0.45360824742268)), .Names = c("Question", "Response", "Proportion"
), row.names = c(1L, 2L, 3L, 9L, 10L, 11L), class = "data.frame")
我对2个问题的回答比例有2个数据框(每个性别一个)。
> df_male
Question Response Proportion
1 Q1 No 0.5692308
2 Q2 No 0.5692308
3 Q3 No 0.4923077
9 Q1 Yes 0.4307692
10 Q2 Yes 0.4307692
11 Q3 Yes 0.5076923
> df_female
Question Response Proportion
1 Q1 No 0.6030928
2 Q2 No 0.6597938
3 Q3 No 0.5463918
9 Q1 Yes 0.3969072
10 Q2 Yes 0.3402062
11 Q3 Yes 0.4536082
我想想象一下,所以我使用ggplot分段条形图。
ggplot(df_male, aes(x = Question, y = Proportion)) +
geom_bar(aes(fill = Response), stat = "identity") +
theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.25)) + # Rotate tick mark labels
guides(fill = guide_legend(reverse = TRUE)) + ggtitle("Male") + theme(plot.title = element_text(hjust=0.5))
ggplot(df_female, aes(x = Question, y = Proportion)) +
geom_bar(aes(fill = Response), stat = "identity") +
theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.25)) + # Rotate tick mark labels
guides(fill = guide_legend(reverse = TRUE)) + ggtitle("Female") + theme(plot.title = element_text(hjust=0.5))
这是将2幅图组合成1幅图的方法吗?也就是说,我希望找到一种方法,可以在同一个图中为2个不同的组中的这3个问题的比例进行可视化。
答案 0 :(得分:0)
如何将数据堆叠在一起并使用interaction
和gender
之间的question
作为x轴?
df <- rbind(cbind(df_male,gender="M"), cbind(df_female, gender = "F"))
ggplot(df, aes(x = interaction(Question,gender), y = Proportion)) +
geom_bar(aes(fill = Response), stat = "identity") +
theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.25)) + # Rotate tick mark labels
guides(fill = guide_legend(reverse = TRUE)) + ggtitle("Male vs. Female") + theme(plot.title = element_text(hjust=0.5))
或者,我认为更好的解决方案是使用facet_wrap()
按问题分组(或根据需要按性别分组):
ggplot(df, aes(x =gender, y = Proportion)) +
geom_bar(aes(fill = Response), stat = "identity") +
theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.25)) + # Rotate tick mark labels
guides(fill = guide_legend(reverse = TRUE)) + ggtitle("Male vs. Female") + theme(plot.title = element_text(hjust=0.5)) +
facet_wrap(~Question)
答案 1 :(得分:0)