ggplot and ggsignif error on grouping variable

ggplot and ggsignif error on grouping variable

By : user2186241
Date : November 24 2020, 04:01 AM
it fixes the issue The issue is that geom_signif inherits the aesthetics define before and then looks for Gender in significant_df, which it doesn't find.
I'm not sure if that gives you a desired result, but to make the plot work you can add inherit.aes = FALSE:
code :
    inherit.aes = FALSE,

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How to sort results in ggplot according to grouping variable

How to sort results in ggplot according to grouping variable

By : user2525008
Date : March 29 2020, 07:55 AM
will be helpful for those in need You could use interaction to do that (in order to better distinguish between Man and Woman, I used fill instead of color):
code :
ggplot(df, aes(x=interaction(ID,Gender), y=Score, fill=Gender)) + 
  geom_bar(stat="identity") +
  scale_x_discrete("ID",breaks=interaction(df$ID,df$Gender),labels=df$ID) +
  theme_bw() +
  theme(axis.title = element_text(size=14,face="bold"), axis.text = element_text(size=12))
ggplot(df, aes(x=factor(ID), y=Score, fill=Gender)) + 
  geom_bar(stat="identity") +
  scale_x_discrete("ID",breaks=df$ID,labels=df$ID) +
  facet_grid(.~Gender, scales="free_x") +
  guides(fill=FALSE) + theme_bw() +
  theme(axis.title=element_text(size=14,face="bold"), axis.text=element_text(size=12),
        strip.text=element_text(size=12,face="bold"), strip.background=element_rect(fill=NA,color=NA))
Add error bars to ggplot line plot with grouping variable

Add error bars to ggplot line plot with grouping variable

By : James Frank
Date : March 29 2020, 07:55 AM
it should still fix some issue You might be looking for something like this?
(I added facet_wrap for better visibility, as the lines are all rather close to one another.)
code :
error_bars <- tidyr::spread(data, variable, value)
colnames(error_bars)[6:7] <- c("mean", "sd") # shorter variable names

       aes(x = post, y = mean, color = condition, group = condition)) +
  geom_line() +
  geom_point() +
  geom_errorbar(aes(ymin = mean - sd, ymax = mean + sd)) +
How to order a discrete variable in a scatterplot by a third grouping variable with ggplot?

How to order a discrete variable in a scatterplot by a third grouping variable with ggplot?

By : user2976480
Date : March 29 2020, 07:55 AM
this will help Minimal Reproducible Example: , With reorder:
code :
data %>% mutate(study=reorder(study, as.numeric(tool))) %>% 
  ggplot(aes(x = auc, y = study)) +  
  geom_point(aes(color = tool), size = 4)
R ggplot on-the-fly calculation by grouping variable

R ggplot on-the-fly calculation by grouping variable

By : C Ariel
Date : March 29 2020, 07:55 AM
around this issue I have added stat_apply_group() and stat_apply_panel() to the development version of my package 'ggpmisc'. It will take some time before this update makes it to CRAN as the previous update has just been accepted.
For the time being 'ggpmisc' should be installed from Bitbucket for the new stats to be available.
code :
devtools::install_bitbucket("aphalo/ggpmisc", ref = "no-debug")
df <- data.frame(X = rep(1:20,2),
                 Y = runif(40),
                 category = rep(c("A","B"), each = 20))
ggplot(df, aes(x = X, y = Y, colour = category)) +
  stat_apply_group(.fun.y = cumsum)
How to add ANOVA one-way p-value to ggplot with ggsignif

How to add ANOVA one-way p-value to ggplot with ggsignif

By : user6087772
Date : September 23 2020, 11:00 PM
To fix this issue I have the following data , The p-value of one-way anova with two group is the same as t.test.
code :
ggplot(data, aes(x = label, y = value )) + 
  geom_boxplot() + 
  geom_signif(comparison = list(c("A",  "B")), y_position = 11, test = "t.test")
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