我正在使用Likert包。
我的情节看起来像包装产生的标准图,可以在官方的Likert包页面上看到(http://jason.bryer.org/likert/)
我的问题:是否有可能影响,手动更改图例标签(热图中的“百分比”和刻度中的“百分比”和“响应”?)
library(likert)
data(pisaitems)
items28 <- pisaitems[, substr(names(pisaitems), 1, 5) == "ST24Q"]
head(items28)
ncol(items28)
items28 <- rename(items28, c(ST24Q01 = "I read only if I have to.", ST24Q02 = "Reading is one of my favorite hobbies.",
ST24Q03 = "I like talking about books with other people.", ST24Q04 = "I find it hard to finish books.", ST24Q05 = "I feel happy if I receive a book as a present.",
ST24Q06 = "For me, reading is a waste of time.", ST24Q07 = "I enjoy going to a bookstore or a library.", ST24Q08 = "I read only to get information that I need.",
ST24Q09 = "I cannot sit still and read for more than a few minutes.", ST24Q10 = "I like to express my opinions about books I have read.",
ST24Q11 = "I like to exchange books with my friends"))
l28 <- likert(items28)
summary(l28)
plot(l28, type = "heat")
(来自Likert网站的样本,它将生成一个带有颜色键图例中百分比表达式的热图)
编辑: 我在努力:
likert.heat.plot(128) + scale_fill_hue(name="Prozent")
但它不会运行 likert.heat.plot(128)也没有运行,这很奇怪,因为
plot(128, type = "heat")
是。我另外加载了ggplot2包
答案 0 :(得分:1)
只要likert.heat.plot(..)
返回类为ggplot
的对象,则可以使用标准ggplot2
指令对其进行处理。因此,可以通过以下方式更改图例标题:
plot(l28, type = "heat") + guides(fill=guide_legend(title="Prozent"))