问题
So I've made a stacked Barplot with help of @Axeman . So far so good.. Now I would love to swap the Blue plot with the Red plot. I've literally tried everything using the order function in ggplot and I cant get it right. Here is the Plot:
Stacked barplot
Below, you can find an extract of the dataframe that was used for this plot (first row containts the header). Basically its a division name, followed by two types of savings (Repetitive and MDF) and the the last column contains the sum of both (NewRepetitive + Anrechenbare_MDF)
"DivisionName", "NewRepetitive", "Anrechenbare_MDF", "Total_CR"
"Electrification Products" 0 0 0
"Electrification Products" 39.762 0 39.762
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 1641.348852 0 1641.348852
"Electrification Products" 6367.725252 0 6367.725252
"Electrification Products" 24299.24741 0 24299.24741
"Electrification Products" 32910.87486 0 32910.87486
"Electrification Products" 8637.313704 0 8637.313704
"Electrification Products" 9220.489704 0 9220.489704
"Electrification Products" -1038.609948 0 -1038.609948
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 6346.518852 0 6346.518852
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 4675.189452 0 4675.189452
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 0 0 0
"Electrification Products" 8495.893524 0 8495.893524
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 2439.849336 0 2439.849336
"Power Grids" 0 0 0
"Power Grids" -3909.837222 0 -3909.837222
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" -974.473842 0 -974.473842
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" -448.740678 0 -448.740678
"Power Grids" -886.997442 0 -886.997442
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 263.767854 0 263.767854
"Power Grids" -28.4961 0 -28.4961
"Power Grids" 122.00307 0 122.00307
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 3910.778256 0 3910.778256
"Power Grids" 0 0 0
"Power Grids" -1246.87005 0 -1246.87005
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" -61.047924 0 -61.047924
"Power Grids" -61.047924 0 -61.047924
"Power Grids" 0 0 0
"Power Grids" -6.348666 0 -6.348666
"Power Grids" -12.697332 0 -12.697332
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" -240.798672 0 -240.798672
"Power Grids" 0 0 0
"Power Grids" -65.395236 0 -65.395236
"Power Grids" 24.678948 0 24.678948
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 0 0 0
"Power Grids" 215.669088 0 215.669088
"Power Grids" -61.047924 0 -61.047924
"Power Grids" 14.605908 0 14.605908
"Power Grids" -42.61161 0 -42.61161
"Power Grids" -553.540056 0 -553.540056
"Power Grids" 0 0 0
"Power Grids" 113.507256 0 113.507256
"Power Grids" -21.365448 0 -21.365448
"Power Grids" 0 0 0
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 603.25581 0 603.25581
"Power Grids" -61.047924 0 -61.047924
"Power Grids" 0 0 0
"Power Grids" -224.429982 0 -224.429982
"Power Grids" 0 0 0
"Power Grids" 44.904552 0 44.904552
"Power Grids" -240.798672 0 -240.798672
"Power Grids" 0 0 0
"Power Grids" -361.198008 0 -361.198008
"Power Grids" 0 0 0
"Power Grids" -240.798672 0 -240.798672
"Power Grids" -115.349562 0 -115.349562
"Power Grids" 0 0 0
"Power Grids" 263.767854 0 263.767854
"Power Grids" -1948.93443 0 -1948.93443
"Power Grids" 16.36869 0 16.36869
"Power Grids" 111.280584 0 111.280584
"Power Grids" 924.254436 0 924.254436
"Power Grids" -1122.136656 0 -1122.136656
"Power Grids" 0 0 0
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 5.977554 0 5.977554
"Power Grids" 0 0 0
"Electrification Products" 5542.133592 -559.362777 4982.770815
"Electrification Products" 3038.638548 -260.690669 2777.947879
"Electrification Products" 2507.378466 -279.681388 2227.697078
"Electrification Products" -2241.940608 -334.661491 -2576.602099
"Electrification Products" -4535.744118 -931.275287 -5467.019405
"Electrification Products" 808.003602 -156.175362 651.82824
"Electrification Products" 958.873884 -209.163422 749.710462
"Electrification Products" -830.588418 -144.621569 -975.209987
"Electrification Products" -999.404616 -184.794228 -1184.198844
"Electrification Products" 342.112248 -225.099694 117.012554
"Electrification Products" -237.193584 -92.629517 -329.823101
"Electrification Products" 238.572 -236.653473 1.918527
"Electrification Products" 145.674714 -71.925657 73.749057
"Electrification Products" 0 -40.637464 -40.637464
"Electrification Products" -437.382 -111.553826 -548.935826
"Electrification Products" 1852.074198 -643.426551 1208.647647
"Electrification Products" 1318.680222 -290.106352 1028.57387
"Electrification Products" 395.89698 -81.009327 314.887653
"Electrification Products" 314.106546 -118.725138 195.381408
"Electrification Products" -711.580752 -277.88855 -989.469302
"Electrification Products" -897.22953 -196.215213 -1093.444743
"Electrification Products" 228.074832 -150.066454 78.008378
"Electrification Products" -657.517686 -188.844696 -846.362382
"Electrification Products" -986.269902 -283.267038 -1269.53694
"Electrification Products" -474.638994 -99.203216 -573.84221
"Electrification Products" -711.951864 -148.804831 -860.756695
"Electrification Products" 286.577988 -66.863233 219.714755
Here is the R-Code that was used to edit the dataframe the right way (using tidyr package), so I could make the stacked barplot, since ggplot needs the data in a specific form.
library(ggplot2)
library(tidyr)
pd <- gather(stack, 'key', 'value', -DivisionName)
pd <- pd[pd$key != 'Total_CR', ]
And finally the ggplot code:
ggplot(pd, aes(DivisionName, value, fill = key)) +
geom_bar(stat = "summary", fun.y = "sum") +
scale_fill_discrete(name="Saving-Typen",labels=c("MDF-Savings","Repetitive Savings")) +
ylab("Total Savings") + scale_y_continuous(breaks=c(seq(0,15000000,1000000)), expand = c(0,0))
The barplot looks exactly how I want it to, except the order.. I need to have the MDF Savings above of Repetitive-Savings. I'm sitting here for 5 hours and can't get the right solution.. I've tried everything with the "order" option.
Can someone help me?
回答1:
The problem is not in your plot code, but in the data frame pd. You have pd$key as a character vector instead of a factor. Convert this to a factor with the correct ordering, and ggplot will do the rest for you.
After
pd <- gather(stack, 'key', 'value', -DivisionName)
pd <- pd[pd$key != 'Total_CR', ]
You do:
pd$key <- factor(pd$key,
levels = c("NewRepetitive",
"Anrechenbare_MDF"))
Don't forget to change your labels again to match the correct values.
ggplot(pd, aes(DivisionName, abs(value), fill = key)) +
geom_bar(stat = "summary", fun.y = "sum") +
scale_fill_discrete(name="Saving-Typen",labels=c("Repetitive Savings","MDF_Savings")) +
ylab("Total Savings") + scale_y_continuous(breaks=c(seq(0,15000000,1000000)), expand = c(0,0))
gives
Note that I had to use abs(value) due to your dodgy example dataset. Please take a look at How to make a great R reproducible example? to get an idea of how to ask a question in the future.
回答2:
Try to manually select the colors that you want:
+ scale_fill_manual(values=c("#999999", "#E69F00"),
name="Legend title",
breaks=c("Electrical", "Power grids"),
labels=c("Electrical", "Power grids"))
as found on http://www.cookbook-r.com/Graphs/Legends_(ggplot2)/
Not tested.
来源：https://stackoverflow.com/questions/39619490/rstudio-reorder-stacked-ggplot-geom-bar