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labels with geom_text ggplot2


labels with geom_text ggplot2

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labels with geom_text ggplot2
Tag : r , By : Eric
Date : November 25 2020, 07:27 PM


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insert labels in proportional bar chart with ggplot2 and geom_text


Tag : r , By : amorican
Date : March 29 2020, 07:55 AM
wish of those help Another way to get non-cumulative percentage plus centering the labels, for future reference:
dat <- ddply(data, .(var1), function(.) {
good <- prop.table(table(factor(.$var2)))
res <- cumsum(prop.table(table(factor(.$var2))))
data.frame(lab = names(res), y = c(res), good = good, pos = cumsum(good) - 0.5*good)
})

ggplot(data, aes(x = var1)) + geom_bar(aes(fill = var2), position = 'fill') +
geom_text(aes(label = round(good.Freq, 2), x = var1, y = pos.Freq), data = dat)

R: ggplot2 geom_text data labels for binned geom_bar


Tag : r , By : Puneet Madaan
Date : March 29 2020, 07:55 AM
it helps some times I am new to ggplot2 and on my first try ran into a problem that is not obvious to solve: , Something like this?
ggplot(x, aes(factor(y))) +
  geom_bar(fill = 2) +
  geom_text(stat="bin", aes(label = ..count.., y=(..count..-..count..)+5))

R ggplot2 ordering of labels (geom_text)


Tag : r , By : Rik
Date : March 29 2020, 07:55 AM
like below fixes the issue Having two different 'plots' in a single plot will force you to also have two different ways to include the labels.
The problem of having the labels on each bar is solved using position = position_dodge2(), but this won't work with the line. Just include a new geom_text for it.
df1 <- data.frame(cat = c("category1", "category2", "category3", 
                          "category1", "category2", "category3",
                          "category1", "category2", "category3"), 
                  source = c("a", "a", "a", "b", "b", "b", "c", "c", "c"),
                  value = c(sample (c(1000L:6000L),9, replace = FALSE)),
                  stringsAsFactors = FALSE)

library(dplyr)
library(ggplot2)
library(scales)

ggplot() +
  geom_col(data = filter(df1, source %in% c("a", "b")), aes(cat, value, fill = source), position = position_dodge()) +
  geom_text(data = filter(df1, source %in% c("a", "b")), aes(cat, value,label=value, group = source), vjust = 1.5, size = 3, position = position_dodge(width = 1)) +

  geom_point(data = filter(df1, source == "c"), aes(cat, value*5000/2000, color = source)) +
  geom_line(data = filter(df1, source == "c"), aes(cat, value*5000/2000, color = source , group = source)) +
  geom_text(data = filter(df1, source == "c"), aes(cat, value*5000/2000, label=value), vjust = 1.5, size = 3) +

  labs(x= "categories", y= "a and b (bars)") +
  scale_y_continuous(sec.axis = sec_axis(~.*2000/5000, name = "c (line)"), 
                     labels= format_format(big.mark = ".", decimal.mark = ",", scientific = FALSE)) +
  scale_fill_manual(values= c("darkseagreen4", "darkseagreen3")) +
  theme_light() 

ggplot2 putting data labels (geom_text) in wrong order


Tag : r , By : Nigel
Date : March 29 2020, 07:55 AM
around this issue You need to call the position argument in geom_text to match the filled aesthetics data with geom_bar and to let the function know the data is stacked.
ggplot(df, aes(x = geotype, y = capacity, fill=metric)) + 
  geom_bar(stat="identity") + 
  geom_text(data = df, aes(geotype, capacity, label=capacity), size = 3, vjust = 2,
           position = position_stack()) +
  facet_grid(~limitations)

Overlapping labels with multiple geom_text statements in ggplot2


Tag : r , By : PepeM
Date : December 24 2020, 08:01 PM
it should still fix some issue I suggest using a long version of the data for the text so you can get it in one call to geom_text:
library(dplyr); library(tidyr); library(ggplot2)
scores_long <- hospital %>%
  gather(stat, value, -hospital) %>%
  mutate(value = round(value, 1))

ggplot(data = scores, aes(x=hospital, y=mean), xlab = "score") + 
  geom_errorbar(aes(x=hospital, ymin=lower, ymax=upper), color="blue", width=.5) + 
  geom_point(shape = 19, size = 3) + 
  coord_flip() + 
  theme(axis.text=element_text(size=20), axis.title=element_text(size=25,face="bold"), 
        plot.title = element_text(face = "bold", size = 30)) + 
  ggtitle("Linear Regression Predictions for Scores") + ylab("Score")+ xlab("Hospital") + 
  labs(subtitle = "Data used for Prediction: 2014-2019") +
  geom_text(data = scores_long, 
            aes(label = value, y = value), vjust = -1, size = 8, check_overlap = T)
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