r - 同一图上的多条频率线，其中 y 是字符值

Question

我正在尝试按年份创建图形类型出现次数的频率图。
我已经玩了一段时间的 ggplot2，但我认为这超出了我的范围(我刚刚开始使用 R)

我附上了一张我想要的结果的示意图。我遇到的其他问题之一是有很多年没有出现图表类型。如果那年没有出现，有没有办法排除图表类型？

例如1940 年没有“社会图”，我不想在 0 处有一堆线......

year <- c("1940","1940","1940","1940","1940","1940","1940","1940","1940","1940","1940","1941","1941","1941","1941","1941","1941","1941","1941","1941","1941","1941","1941","1941","1941")
type <- c("Line","Column", "Stacked Column", "Scatter with line", "Scatter with line", "Scatter with line", "Scatter with line", "Map with distribution","Line","Line","Line","Bar","Bar","Stacked bar","Column","Column","Sociogram","Sociogram","Column","Column","Column","Line","Line","Line","Line")
ytmatrix <- cbind(as.Date(as.character(year), "%Y", type))

如果有什么不合理的地方，请告诉我。 StackOverflow 正在迅速成为我最喜欢的网站之一!

谢谢，
乔恩


这是我到目前为止...
再次感谢您的帮助!

这就是我是怎么做的(我还不能分享数据文件，因为我们希望用它来发表文章，但 ggplot 区域可能更有趣，尽管我并没有真正做任何新的事情/在帖子中没有讨论):

AJS = read.csv(data) #read in file
Type = AJS[,17] #select and name "Type" column from csv
Year = AJS[,13] #select and name "Year" column from csv
Year = substr(Year,9,12) #get rid of junk from year column
Year = as.Date(Year, "%Y") #convert the year character to a date
Year = format(Year, "%Y") #get rid of the dummy month and day
Type = as.data.frame(Type) #create data frame
yt <- cbind(Year,Type) #bind the year and type together
library(ggplot2) 

trial <- ggplot(yt, aes(Year,..count.., group= Type)) + #plot the data followed by aes(x-  axis, y-axis, group the lines)
geom_density(alpha = 0.25, aes(fill=Type)) +
opts(axis.text.x = theme_text(angle = 90, hjust = 0)) + #adjust the x axis ticks to horizontal
opts(title = expression("Trends in the Use of Visualizations in The American Journal of Sociology")) + #Add title
scale_y_continuous('Appearances (10 or more)') #change Y-axis label
trial

Answer 1

这可能是一个更有趣的数据框来试验:

df1 <- data.frame(date = as.Date(10*365*rbeta(100, .5, .1)),group="a")
 df2 <- data.frame(date = as.Date(10*365*rbeta(50, .1, .5)),group="b")
 df3 <- data.frame(date = as.Date(10*365*rbeta(25, 3,3)),group="c")
 dfrm <- rbind(df1,df2,df3)

我认为使用 help(stat_density) 页面中的示例会起作用，但它不起作用:

m <- ggplot(dfrm, aes(x=date), group=group)
m+ geom_histogram(aes(y=..density..)) + geom_density(fill=NA, colour="black")

然而，我在搜索 hte 文件时发现的一个例子发现了@Hadley Wickham 的一个帖子，它确实有效:

m+ geom_density(aes(fill=group), colour="black")