Using group argument in aes() in ggplot2

debugcn Published at Dev

melbez

I am trying to use the "group" argument in aes() in ggplot2, and I am not sure why it is not working as I currently have it.

I would like an image that groups my "maskalthalf" variable in the way that this image uses "sex" (found here).

This is what my graph currently looks like.

This is the code I have so far.

ggplot(groups, aes(x = message, y = mean, group = factor(maskalthalf))) + 
  geom_bar(stat = "identity", width = 0.5, fill = "003900") +
  geom_text(aes(label = round(mean, digits = 1), vjust = -2)) + 
  geom_errorbar(aes(ymin = mean - se, ymax = mean + se), width = .2, position = position_dodge(.9)) + 
  labs(title = "Evaluations of Personal and General Convincingness") + 
  ylab("Rating") + 
  xlab("Personal evaluation or general evaluation") + 
  ylim(0, 8)

This is a sketch of what I am aiming for:

Data:

structure(list(maskalthalf = c("High", "High", "Low", "Low"), 
    message = c("General", "Personal", "General", "Personal"), 
    mean = c(4.79090909090909, 6.38181818181818, 4.69879518072289, 
    4.8433734939759), se = c(0.144452868727642, 0.104112130946133, 
    0.149182255019704, 0.180996951567937)), row.names = c(NA, 
-4L), groups = structure(list(maskalthalf = c("High", "Low"), 
    .rows = structure(list(1:2, 3:4), ptype = integer(0), class = c("vctrs_list_of", 
    "vctrs_vctr", "list"))), row.names = 1:2, class = c("tbl_df", 
"tbl", "data.frame"), .drop = TRUE), class = c("grouped_df", 
"tbl_df", "tbl", "data.frame"))

neilfws

The image in your first example uses facets to group by variable. So you could try that:

ggplot(df1, aes(x = message, y = mean)) + 
  geom_col(width = 0.5, fill = "003900") +
  geom_text(aes(label = round(mean, digits = 1), vjust = -2)) + 
  geom_errorbar(aes(ymin = mean - se, ymax = mean + se), width = .2, position = position_dodge(.9)) + 
  labs(title = "Evaluations of Personal and General Convincingness") + 
  ylab("Rating") + 
  xlab("Personal evaluation or general evaluation") + 
  ylim(0, 8) +
  facet_wrap(~maskalthalf)