我有一个在 x 轴上具有离散有序因子的数据集。我想将呈现从条形图更改为折线图(以 geom_freqpoly
的样式)。我不能直接使用 geom_freqpoly
因为我已经聚合了数据,而且我不知道如何将统计数据从 stat = "bin"
更改为 stat = "身份"
。我怎样才能做到这一点?
这是数据:
temp <- structure(list(wday = structure(c(1L, 1L, 2L, 2L, 3L, 3L, 4L,
4L, 5L, 5L, 6L, 6L, 7L, 7L), .Label = c("Monday", "Tuesday",
"Wednesday", "Thursday", "Friday", "Saturday", "Sunday"), class = c("ordered",
"factor")), splitter = c(FALSE, TRUE, FALSE, TRUE, FALSE, TRUE,
FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE), N = c(250245,
40845, 209685, 45946, 200983, 49403, 142869, 52212, 88589, 48175,
51061, 25317, 84012, 7994), price1 = c(22.79, 70.20, 35.92, 87.66,
48.98, 55.37, 22.56, 88.50, 26.12, 63.29, 35.88, 73.79, 33.12, 82.80
)), .Names = c("wday", "splitter", "N", "price1"), class = "data.frame",
row.names = c(NA, -14L))
这是情节:
ggplot(melt(temp,id.vars = c("wday","splitter")),
aes(x = wday, y = value, fill = splitter)) +
geom_bar(stat = "identity", position = "dodge") +
facet_grid(variable ~ ., scale = "free_y")
虽然我认为下面的代码可以工作,但它并没有:
ggplot(melt(temp,id.vars = c("wday","splitter")),
aes(x = wday, y = value, colour = splitter)) +
geom_point() + geom_line() +
facet_grid(variable ~ ., scale = "free_y")
最佳答案
问题是缺少群体审美。函数 geom_line
使用因子作为默认分组变量(此处为 wday
和 splitter
),因此每个组都是一个数据点。在 aes
中指定分组会根据需要呈现行:
ggplot(melt(temp,id.vars = c("wday","splitter")),
aes(x = wday, y = value, colour = splitter, group = splitter)) +
geom_point() + geom_line() +
facet_grid(variable ~ ., scale = "free_y")
关于r - 如何将此 ggplot2 条形图转换为线图?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/18476047/