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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))
`````` ## 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?

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

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

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

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()
`````` 