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r - How do I manually set geom_bar fill color in ggplot

I'm trying to create several graphs using ggplot. The graphs are a series of bar graphs that together describe a line as well EXAMPLE (BTW, yes I realize the color palette is ugly, it's color-blind friendly which is important for my audience)

My issue is that I need to make several of these graphs and I want the colors to stay consistent across all of them. Since the "Type" variable comes up in different orders across the several datasets I'm going to be using, I need to manually set a color for each type. I thought that this question : How to manually fill colors in a ggplot2 histogram would have the answer, but when I try that, it changes the names in the legend to the hex definition of the color, but the colors themselves go back to ggplot's default palette.

Here's the code I have so far:

  cbbPalette <- c("#000000", "#E69F00", "#56B4E9", "#009E73", "#F0E442", "#0072B2", "#D55E00", "#CC79A7")

 ggplot()+
    scale_fill_manual(values=cbbPalette)+
    geom_bar(data=subset(eten, Type=="Waste Wood"), aes(x=Tprod, y=acost, fill=cbbPalette[1], width=MGGEY+25), stat="identity")+
    geom_bar(data=subset(eten, Type=="Agricultural Residue"), aes(x=Tprod, y=acost, fill=cbbPalette[2], width=MGGEY+25), stat="identity")+
    geom_bar(data=subset(eten, Type=="Forest Residue"), aes(x=Tprod, y=acost, fill=cbbPalette[3], width=MGGEY+25), stat="identity")+
    geom_bar(data=subset(eten, Type=="Herbaceous Energy Crop"), aes(x=Tprod, y=acost, fill=cbbPalette[4], width=MGGEY+25), stat="identity")+
    geom_bar(data=subset(eten, Type=="MSW"), aes(x=Tprod, y=acost, fill=cbbPalette[5], width=MGGEY+25), stat="identity")+
    scale_y_continuous("Average Cost", labels = dollar, expand=c(0,0))+
    scale_x_continuous("Million Gallons of Gasoline Equivalent", expand=c(0,0))+
    theme(legend.position="bottom", panel.background=element_rect(colour = NA, fill = "white"), axis.line=element_line(), panel.grid.major.y=element_line(colour="black"), panel.grid.minor=element_blank())

My level of R expertise is fairly low, so I may be missing something simple, but I can't get it to work on my own. Thanks in advance for the help.

Update: I inadvertently pasted an incorrect version of my code, the "fill" commands are back to my best guess. An example dataset is here.

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I'm guessing that you've looked at the ggplot color blind example shown here? Without your data, I can only speculate that your geom_bar calls create ambiguity regarding which layer to apply the fill changes to since your initial call to ggplot doesn't have an aes argument. Try moving all of your data into a single dataframe and reference it in the initial call to ggplot, e.g.,

ggplot(df, aes(x=cond, y=yval)) +
    geom_bar() + 
    scale_fill_manual(values=cbbPalette)

where df is the dataframe containing your data and aes is the mapping between your variables. This makes it clear to ggplot that you want the fill colors of geom_bar to correspond to the data in df. There are ways to make this work with your current code, but they're unconventional for creating standard bar plots.


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