感谢您对如何使我的代码或binwidth表现出来的任何想法。我的数据集包含每隔几个小时“4”和每天“24”收集的带有时间戳记的数据点。我正在尝试在左侧绘制4小时堆叠直方图,在右侧绘制24小时堆叠直方图。因此,我希望右侧的binwidth比左侧的binwidth宽6倍。但是我尝试使用binwidth进行的所有操作均无效。 x轴数据data3 $ dts看起来是连续的,并且不是离散的,但是也许我做的不正确。

有关数据的重要说明:在右侧绘制的数据(小时数= 24数据)的dts值始终为整数。左侧的数据(小时= 4数据)具有非整数dts值。

             "dts"  "Yes" "No" "Maybe" "hours"  "days"
"258"   15627.668   8       0   1       4   "7 Days"
"259"   15627.832   13      11  18      4   "7 Days"
"260"   15628       34      47  89      4   "7 Days"
"261"   15628       37      47  90      24  "7 Days"
"262"   15628.168   3       0   1       4   "7 Days"
"40"    15571       345     419 674     24  "90 Days"
"41"    15571.5     91      145 130     4   "90 Days"
"42"    15571.668   158     149 284     4   "90 Days"
"43"    15571.832   96      125 260     4   "90 Days"
"44"    15572       55      33  137     4   "90 Days"
"45"    15572       1050    1119 2660   24  "90 Days"

带有从pastebin中提取的数据的代码:
library (ggplot2)
library (scales)
library(grid)
library(gridExtra)

color3 <- c("mediumspringgreen","red","grey44")
titles.days <-  c( "7 Days", "90 Days")
names.facetby <- c ("dts", "hours", "days")

data3 <- read.table ("http://pastebin.com/download.php?i=wUQQUXP4", header=TRUE)
data3.melt <- melt (data3 , id = names.facetby )
data3.melt$days <- factor (data3.melt$days, levels = titles.days)   #  put the factor in the right order, so the graphs are in the right order

 a <- ggplot     ( data3.melt
        , aes (       x =  dts  #as.Date( dts , date1970)
                , y =  value
                , fill = variable)) +
        opts (axis.text.x=theme_text(angle=0, hjust=1)) +
        scale_fill_manual(values = color3) +
        scale_x_date(labels = date_format("%m/%d\n    %a") ) +
        geom_histogram (stat = "identity", position = "stack", binwidth=6.2) +
        facet_wrap( days ~ hours, ncol=2, scales="free")

print(a)

当前结果,显示右侧图的binwidth太窄:

最佳答案

@justin的link to Hadley Wickham's post有答案,那就是在不同的图层中绘制左右图。

更新的代码可以在ggplot中使用2条新的geom_histogram线正确绘制:

库(ggplot2)
图书馆(秤)
图书馆(网格)
图书馆(gridExtra)

color3 <- c("mediumspringgreen","red","grey44")
titles.days <-  c( "7 Days", "90 Days")
names.facetby <- c ("dts", "hours", "days")

data3 <- read.table ("http://pastebin.com/download.php?i=wUQQUXP4", header=TRUE)
data3.melt <- melt (data3 , id = names.facetby )
data3.melt$days <- factor (data3.melt$days, levels = titles.days)   #  put the factor in the right order, so the graphs are in the right order



 a <- ggplot     ( data3.melt
        , aes (       x =  dts  #as.Date( dts , date1970)
                , y =  value
                , fill = variable)) +
        opts (axis.text.x=theme_text(angle=0, hjust=1)) +
        scale_fill_manual(values = color3) +
        scale_x_date(labels = date_format("%m/%d\n%a") ) +

    # bad idea, good ideas follow   geom_histogram (stat = "identity", position = "stack", binwidth=6.2) +  #, breaks = breaks.x
        geom_histogram (data =  subset(data3.melt, hours == 4),  stat = "identity", position = "stack", binwidth=0.3) + #, breaks = breaks.x
        geom_histogram (data =  subset(data3.melt, hours == 24),  stat = "identity", position = "stack", binwidth=0.9) +    #, breaks = breaks.x

        facet_wrap( days ~ hours, ncol=2, scales="free")

print(a)        # plot the thing

更正的图形:

08-24 17:03