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how to create a line plot frame in ggplot2


how to create a line plot frame in ggplot2

By : user2952531
Date : November 19 2020, 01:01 AM
it should still fix some issue Based on the below code, I successfully drew a line plot in R. But I'd like to have a frame around my line figure. , Try
code :
davk + theme(axis.text.x = element_text(hjust = .5), 
             axis.text.y = element_text(hjust = .5, vjust = .5),
             panel.border = element_rect(fill = NA))


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ggplot2 How to create vertical line corresponding to quantile in geom_bar plot

ggplot2 How to create vertical line corresponding to quantile in geom_bar plot


By : frosty
Date : March 29 2020, 07:55 AM
hop of those help? It looks like you need to find the x-position of the 70th percentile city after the cities have been ordered by their y-value. Here's an example of that with the built-in mtcars data frame. The geom_vline code sorts mpg (the y-value in this case) in the same order as we've sorted the bars and then finds the index of the mpg value that's nearest to the 70th percentile. That's the x-position of where we want the vertical line:
code :
mtcars$model = rownames(mtcars)

ggplot(mtcars, aes(reorder(model, -mpg), mpg )) + 
  geom_bar(stat="identity", fill="lightblue") +
  theme_bw() +
  geom_vline(xintercept = which.min(abs(sort(mtcars$mpg,decreasing=TRUE) - quantile(mtcars$mpg,0.7)))) +
  theme(axis.text.x=element_text(angle=-90, vjust=0.5,hjust=0))
ggplot(mtcars, aes(reorder(model, -mpg), mpg )) + 
  geom_bar(stat="identity", fill="lightblue") +
  theme_bw() +
  geom_hline(yintercept = quantile(mtcars$mpg, .7), lty=2) +
  theme(axis.text.x=element_text(angle=-90, vjust=0.5,hjust=0)) 
How to permute list of data.frame and create its annotated stack bar plot in ggplot2?

How to permute list of data.frame and create its annotated stack bar plot in ggplot2?


By : javazious
Date : March 29 2020, 07:55 AM
help you fix your problem I have list of data.frame that needed to be permuted first and create annotated stack bar plot for each data.frame. I have searched related post in SO and got some idea how to do it. However, I gave my shot how to make this as I expected, but my code is slow if data.frame is rather big, while getting stack bar plot is not desired. So I am continously reading ggplot2' vignette to get solution. I am stucked with permuting data.frame list in desired way. How can I permute list of data.frame and create its annotated stack bar plot ? Can anyone give me idea how to do this easily and efficiently ? How to manipulate list of data.frame and get annotated stacked bar plot(number of observation, label) ? in advance , You could try this:
code :
res %>% 
  bind_rows %>% 
  group_by(stringency, list, sample) %>% 
  tally %>% 
  ungroup %>% 
  setNames(c("var", "val", "sample", "n")) %>% 
  {bind_rows(., setNames(., c("val", "var", "sample", "n")))} %>% 
  ggplot(aes(x=var, y=n, fill=val)) + 
  geom_col() + 
  geom_text(aes(label=n), position=position_stack(vjust = 0.5)) + 
  facet_wrap(~sample) 
R ggplot2: create data frame for multiple ROC plots with different line lengths

R ggplot2: create data frame for multiple ROC plots with different line lengths


By : Vương Hùng
Date : March 29 2020, 07:55 AM
Hope this helps ggplot prefers data in long format, so different lengths for different lines doesn't matter.
The structure is pretty easy - you have one column that defines the line, iteration, in your case, with values either 1, 2, 3, or 4 (probably make this one a factor); one column that gives x, and one column that gives y.
Create space and a vertical line between categories using geom_bar plot in ggplot2 in R

Create space and a vertical line between categories using geom_bar plot in ggplot2 in R


By : Paul Gvildys
Date : March 29 2020, 07:55 AM
wish helps you Use the position_dodge argument to your geom. I choose a more minimal example here, but you should be able to generalize it from there.
code :
test <- data.frame(
  a=1:9,
  b=rep(letters[1:3], 3),
  c=rep(letters[1:3], each=3)
)

ggplot(test, aes(y=a, x=b, group=c, fill=c)) + 
  geom_col(position="dodge") +
  geom_vline(xintercept = 1.5)
create bar plot in ggplot2 and add dots according to labels from another data frame

create bar plot in ggplot2 and add dots according to labels from another data frame


By : chenxh
Date : March 29 2020, 07:55 AM
Hope this helps You can set the colour of geom_point by using colour outside of the aes. With your example, you can do something like that:
code :
library(ggplot2)
ggplot(aes(x=var, y=value), data=df1) + geom_bar(stat="identity") +
  geom_point(data = df2, aes(x = var1, y= value), colour = df2$color)+
  geom_point(data = df2, aes(x = var2, y= value), colour = df2$color) 
library(ggplot2)
ggplot(aes(x=var, y=value), data=df1) + geom_bar(stat="identity") +
  geom_point(data = df2, aes(x = var1, y= value, color = color))+
  geom_point(data = df2, aes(x = var2, y= value, color = color))+
  scale_color_identity() 
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