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I'm trying to reverse the values for my Y-axis. I basically want the Y-axis to decrease as you go up so instead of there being 24, it should be 16. How can I do this?

ggplot(data=data_diff, aes(Sum.of.Diff, Sum.of.Against.Total) + geom_point(alpha=1) + ggtitle("Data Diff") + geom_label_repel(data=subset(data_diff, Sum.of.Against.Total> 0 | Sum.of.Diff > 0 | Sum.of.Diff < 0), aes(label=Name), box.padding = 0.5, point.padding = .11, segment.color = 'black') + xlab("Sum of Diff") + ylab("Sum of Against Stats Total") 

example plot:

Click Here for example plot

Here is my data set:

 Name Sum.of.Against.Total Sum.of.Diff 1 Aurorus 26.00 185.66 2 Parasect 25.00 155.66 3 Leavanny 25.00 115.66 4 Abomasnow 25.00 115.66 5 Frosmoth 24.50 115.66 6 Rhyperior 24.25 115.66 7 Golem 24.25 115.66 8 Exeggutor 24.00 115.66 9 Weavile 23.50 115.66 10 Flapple 23.25 115.66 11 Appletun 23.25 115.66 12 Alolan Exeggutor 23.25 82.66 13 Tyranitar 23.00 70.66 

Thank you! B

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  • What tdo you mean by reverse? Please share your data. You can paste the output of dput(data_diff) in your question. Please go through the tour in Stack Overflow and read stackoverflow.com/help/how-to-ask Commented Dec 2, 2021 at 1:20
  • 2
    scale_y_reverse? Commented Dec 2, 2021 at 1:21
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    Please, share the CODE FOR YOUR DATA, not just the formated table. You can use dput, as I showed above Commented Dec 2, 2021 at 1:32

1 Answer 1

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If you want to reverse the order of the y axis you can use scale_y_reverse() or you could use scale_y_continuous(trans = "reverse") both will produce the desired output

data:

data_diff <- structure(list(Name = structure(c(4L, 10L, 9L, 1L, 7L, 11L, 8L, 5L, 13L, 6L, 3L, 2L, 12L), .Label = c("Abomasnow", "Alolan_Exeggutor", "Appletun", "Aurorus", "Exeggutor", "Flapple", "Frosmoth", "Golem", "Leavanny", "Parasect", "Rhyperior", "Tyranitar", "Weavile"), class = "factor"), Sum.of.Against.Total = c(26, 25, 25, 25, 24.5, 24.25, 24.25, 24, 23.5, 23.25, 23.25, 23.25, 23), Sum.of.Diff = c(185.66, 155.66, 115.66, 115.66, 115.66, 115.66, 115.66, 115.66, 115.66, 115.66, 115.66, 82.66, 70.66)), class = "data.frame", row.names = c(NA, -13L)) 

Plot:

library(ggplot2) library(ggrepel) ggplot(data=data_diff, aes(Sum.of.Diff, Sum.of.Against.Total)) + geom_point(alpha=1) + scale_y_reverse() + ggtitle("Data Diff") + geom_label_repel(data=subset(data_diff, Sum.of.Against.Total> 0 | Sum.of.Diff > 0 | Sum.of.Diff < 0), aes(label=Name), box.padding = 0.5, point.padding = .11, segment.color = 'black') + xlab("Sum of Diff") + ylab("Sum of Against Stats Total") 

example1

ggplot(data=data_diff, aes(Sum.of.Diff, Sum.of.Against.Total)) + geom_point(alpha=1) + scale_y_continuous(trans = "reverse") + ggtitle("Data Diff") + geom_label_repel(data=subset(data_diff, Sum.of.Against.Total> 0 | Sum.of.Diff > 0 | Sum.of.Diff < 0), aes(label=Name), box.padding = 0.5, point.padding = .11, segment.color = 'black') + xlab("Sum of Diff") + ylab("Sum of Against Stats Total") 

example2

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