我一直在尝试使用R中的ggplot2在同一图上绘制条形图和折线图,但是我无法调整辅助轴。下面是数据的样子。
Month Domestic Visitors Var1 Var2 Var3 Var4 Var5 Var6 Var7
2016-01-01 140018225 0 0 0 0 0 0 1500
2016-02-01 157837334 0 0 0 0 1473 0 1500
2016-03-01 153520903 0 0 0 0 114 0 1500
2016-04-01 155965472 148935 48575 11324 6075 11319 1200 19468
2016-05-01 133629040 0 74037 11324 19120 41015 1200 24468
2016-06-01 130395546 0 13500 0 12184 3311 1200 16500
2016-07-01 134910131 0 0 0 0 250 8405 1500
2016-08-01 123513886 0 0 0 0 399 8272 1500
2016-09-01 138056952 0 0 4814 0 8354 5612 5612
2016-10-01 156491556 0 0 0 0 740 7975 5724
2016-11-01 123124539 0 0 9603 0 2000 10567 8128
2016-12-01 146472839 0 0 0 0 8046 8087 4334
这就是我试图在上方绘制数据的方式
mdf <- tidyr::gather(mdf, variable, value, -Month, -one_of(colnames(mdf[2])))
ggplot() +
geom_bar(aes(y=mdf$value, x = as.Date(mdf$Month), fill = variable), data = mdf,stat="identity") +
geom_line(aes(y = mdf$Domestic.Visitors, x = as.Date(mdf$Month)), data = mdf,stat="identity", lty = 2) +
ggtitle("Weekly Spend Timeline") +
labs(fill = "Channels") +
scale_x_date(name = "Time Period", labels = NULL) +
scale_y_continuous(sec.axis = sec_axis((~./max(mdf$Domestic.Visitors)))) +
theme_grey() +
theme(
plot.title = element_text(color="black", size=16, face="bold", hjust = 0.5),
axis.title.x = element_text(color="black", size=12, face="bold"),
axis.title.y = element_text(color="black", size=12, face="bold"))
收集后的数据
structure(list(Month = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 12L), .Label = c("2016-01-01", "2016-02-01",
"2016-03-01", "2016-04-01", "2016-05-01", "2016-06-01", "2016-07-01",
"2016-08-01", "2016-09-01", "2016-10-01", "2016-11-01", "2016-12-01"
), class = "factor"), Domestic.Visitors = c(140018225L, 157837334L,
153520903L, 155965472L, 133629040L, 130395546L, 134910131L, 123513886L,
138056952L, 156491556L, 123124539L, 146472839L, 140018225L, 157837334L,
153520903L, 155965472L, 133629040L, 130395546L, 134910131L, 123513886L,
138056952L, 156491556L, 123124539L, 146472839L, 140018225L, 157837334L,
153520903L, 155965472L, 133629040L, 130395546L, 134910131L, 123513886L,
138056952L, 156491556L, 123124539L, 146472839L, 140018225L, 157837334L,
153520903L, 155965472L, 133629040L, 130395546L, 134910131L, 123513886L,
138056952L, 156491556L, 123124539L, 146472839L, 140018225L, 157837334L,
153520903L, 155965472L, 133629040L, 130395546L, 134910131L, 123513886L,
138056952L, 156491556L, 123124539L, 146472839L, 140018225L, 157837334L,
153520903L, 155965472L, 133629040L, 130395546L, 134910131L, 123513886L,
138056952L, 156491556L, 123124539L, 146472839L), variable = c("Var1",
"Var1", "Var1", "Var1", "Var1", "Var1", "Var1", "Var1", "Var1",
"Var1", "Var1", "Var1", "Var2", "Var2", "Var2", "Var2", "Var2",
"Var2", "Var2", "Var2", "Var2", "Var2", "Var2", "Var2", "Var4",
"Var4", "Var4", "Var4", "Var4", "Var4", "Var4", "Var4", "Var4",
"Var4", "Var4", "Var4", "Var5", "Var5", "Var5", "Var5", "Var5",
"Var5", "Var5", "Var5", "Var5", "Var5", "Var5", "Var5", "Var6",
"Var6", "Var6", "Var6", "Var6", "Var6", "Var6", "Var6", "Var6",
"Var6", "Var6", "Var6", "Var7", "Var7", "Var7", "Var7", "Var7",
"Var7", "Var7", "Var7", "Var7", "Var7", "Var7", "Var7"), value = c(1500L,
1500L, 1500L, 19468L, 24468L, 16500L, 1500L, 1500L, 5612L, 5724L,
8128L, 4334L, 0L, 0L, 0L, 48575L, 74037L, 13500L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 11324L, 11324L, 0L, 0L, 0L, 4814L, 0L,
9603L, 0L, 0L, 0L, 0L, 6075L, 19120L, 12184L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 1473L, 114L, 11319L, 41015L, 3311L, 250L, 399L, NA,
740L, 2000L, 8046L, 0L, 0L, 0L, 1200L, 1200L, 1200L, 8405L, 8272L,
8354L, 7975L, 10567L, 8087L)), row.names = c(NA, -72L), class = "data.frame")
我希望有人能帮助我弄清楚我可能做错了什么,并帮助绘制这些数据。
非常感谢!
答案 0 :(得分:3)
让我们从一个简单的转换开始,将两个结合在一起。
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主y轴用于ggplot() +
geom_bar(aes(y= value, x = as.Date(Month), fill = variable), data = mdf,stat="identity") +
geom_line(aes(y = (Domestic.Visitors-100000000)/500, x = as.Date(Month)), data = mdf,stat="identity", lty = 2) +
ggtitle("Weekly Spend Timeline") +
labs(fill = "Channels") +
scale_x_date(name = "Time Period", labels = NULL) +
scale_y_continuous(sec.axis = sec_axis(~(.+100000000)*500)) +
theme_grey() +
theme(
plot.title = element_text(color="black", size=16, face="bold", hjust = 0.5),
axis.title.x = element_text(color="black", size=12, face="bold"),
axis.title.y = element_text(color="black", size=12, face="bold"))
变量的条形图,辅助y轴用于value
线。 source code
您可以调整这些值以进行变换以重新缩放次要y,例如,如果您使用120000000和300而不是100000000和500,则图形如下所示: