我已经浏览了很多,但不幸的是我只是发现了模糊的信息。我希望显示长度等级的性别比例。为了达到这个目的,我用ggplot2(geom_bar)做了一个叠加的条形图。这是代码:
kcores(net)
cols只是一个带有颜色的简单矢量。
这是到目前为止的情节:
我的问题是我无法更改轴文本。我只想要每隔五个条形下面的文字,否则它们是重叠的。我尝试使用limits和breaks命令,但这只是给了我一个空图。
Data <- data.frame(LCnew=c(30,30,31,31,32,32,33,33,34,34,35,35,36,36,37,37,38,38,39,39,40,40),
sex=c(1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2))
ggplot(Data, aes(x=factor(LCnew), fill=factor(sex)))+geom_bar(position="fill") + scale_x_discrete("Lengthclass [mm]") + scale_y_continuous("Proportion of sexes") + scale_fill_manual(values=cols)
有什么建议吗?
答案 0 :(得分:3)
如果您想防止标签重叠,可以遵循以下几种策略:
1)定义休息时间:
ggplot(y, aes(x=factor(length), fill=factor(sex))) +
geom_bar(position="fill", width=0.7) +
scale_x_discrete("Standard Length [mm]", breaks=c(300000,350000,400000)) +
scale_y_continuous("Proportion of sexes", expand=c(0,0)) +
scale_fill_manual("Sex", values=c("blue","pink"), labels=c("Male","Female")) +
theme_minimal()
给出了以下情节:
2)更改标签的角度:
ggplot(y, aes(x=factor(length), fill=factor(sex))) +
geom_bar(position="fill", width=0.7) +
scale_x_discrete("Lengthclass [mm]", expand=c(0,0)) +
scale_y_continuous("Proportion of sexes", expand=c(0,0)) +
scale_fill_manual("Sex", values=c("blue","pink"), labels=c("Male","Female")) +
theme_minimal() +
theme(axis.text.x = element_text(angle=90, vjust = 0.5))
给出:
3)旋转情节:
ggplot(y, aes(x=factor(length), fill=factor(sex))) +
geom_bar(position="fill", width=0.7) +
scale_x_discrete("Lengthclass [mm]", expand=c(0,0)) +
scale_y_continuous("Proportion of sexes", expand=c(0,0)) +
scale_fill_manual("Sex", values=c("blue","pink"), labels=c("Male","Female")) +
coord_flip() +
theme_minimal()
给出:
使用过的数据:
y <- structure(list(length = c(300000, 300000, 310000, 310000, 320000, 320000, 330000, 330000, 340000, 340000, 350000, 350000, 360000, 360000, 370000, 370000, 380000, 380000, 390000, 390000, 400000, 400000, 300000, 310000, 330000, 340000, 360000, 380000, 390000),
sex = c(1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 2)), .Names = c("length", "sex"), row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "110", "41", "71", "101", "131", "171", "201"), class = "data.frame")
答案 1 :(得分:1)
尝试添加&#39;标签&#39;
scale_x_continuous("Standard Length [mm]", breaks=c(30,35,40,45,50,55,60,65,70,75,80,85),labels=c(30,35,40,45,50,55,60,65,70,75,80,85))