ggpubr | 'ggplot2 ' Based Publication Ready Plots | Data Visualization library
kandi X-RAY | ggpubr Summary
kandi X-RAY | ggpubr Summary
[ggplot2, by Hadley Wickham,] is an excellent and flexible package for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication. Furthermore, to customize a ggplot, the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. The 'ggpubr' package provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots. Find out more at
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ggpubr Examples and Code Snippets
Community Discussions
Trending Discussions on ggpubr
QUESTION
I recently began using RStudio on a Linux system (Ubuntu 20.4) after having used it exclusively on Windows. I realized pretty quickly that a major difference between the two is that R will automatically locate and download non-R dependencies on Windows, but will not do so on Linux. Searching for the dependencies of any given package is easy enough and I'm comfortable with downloading non-R packages through the terminal. What I'm still struggling with, though, is identifying which packages are R packages and which packages are non-R packages and I haven't found a thread that outlines how to do this. I could certainly spend some time googling each, but, as an example, ggpubr
alone has over 95 dependent packages that it uses. How can I efficiently determine which non-R dependencies a package needs?
ANSWER
Answered 2022-Apr-16 at 21:59You need to read the DESCRIPTION
file. It has a free-form field called SystemRequirements
that describes non-standard requirements of the package.
You can see this on the CRAN page, or use the utils::packageDescription()
function to see it if you can get the package installed. For example,
QUESTION
I am trying to add y axis labels to my figure (a compilation of 6 figures in a 2x3 arrangement. The top 3 figures are part of one group, and the bottom 3 are part of another so I'd like to add two separate y axis labels at the start of each row. I am using the ggarrange function in {ggpubr}.
The image below is what I would like to have (i.e. the additional "Abundance" and "Presence/Absence" labels.
Below is the code I am using:
...ANSWER
Answered 2022-Apr-04 at 21:05It seems the thing you're trying to do is not super easy to do natively with ggpubr::ggarrange
. I usually prefer {patchwork} but didn't find an easy solution there either. However, there is a feature request on github that contains some code which I was able to turn into a solution here.
QUESTION
This is a follow up question to Combine ggflags with linear regression in ggplot2
I have a plot like below with a log-linear model for x and y for certain countries that I have made in R with ggplot2
and ggflags
:
The problem is when I want to print out the regression equation, the R2 and the p-value with the help of stat_regline_equation
and stat_cor
, I get values for a linear model and not the log-linear model I want to use.
How can I solve this?
...ANSWER
Answered 2022-Apr-03 at 22:48There are four things you need to do:
- Provide your regression formula to the
formula
argument ofstat_regline_equation
- Use
sub
to change "x" to "log(x)" ineq.label
- Change the x aesthetic of
stat_cor
tolog(x)
- Fix the x limits inside
coord_cartesian
to compensate
QUESTION
I have got survival data, based on quartiles of delta_mon1_baselone_to_3d
. Outcomes is mace
.
Cox regression for each quartile are obtained with this code:
...ANSWER
Answered 2022-Apr-01 at 14:38This is what I think you're looking for. First, it isn't built into that plotting function to do this, but you can create these labels dynamically.
It ended up being a bit easier if I changed the name of stratum
to Quartile
. If that's what you're labeling it, this shouldn't be too big of an issue.
QUESTION
I'm trying to produce a figure containing multiple ggplot2
plots arranged by ggarrange
from the package ggpubr
and annotated on the left side. The ggplot2
plots are transparent or have a transparent background.
The issue arose lately (i.e. I did not confront it this year earlier) where a light grey line appears between the plots and the annotation text on the left side as shown in the image below. And it is more prominent when the figure is inserted in LaTeX.
I tried to play with the individual plots, but there is no plot.border
only panel.border
, thus, all my trials were not successful!
My maschine information:
R 3.6.3 on Ubuntu 20.04.2 LTS
ggplot2 3.3.5
ggpubr 0.4.0
The code I used to produce it (and was inspired by this):
...ANSWER
Answered 2022-Mar-09 at 15:22The issue with transparent arranged plots still exists. However, a progressive solution can be:
- Producing ggplot2 plots with a white background by removing
rect = element_rect(fill = "transparent")
. - Using another approach to annotate and arrange plots:
QUESTION
I am trying to install factoextra
, but I gets stuck during the CMake part, in particular with error like:
CMake Error: The source directory "/tmp/..." does not exist.
(same when I try to install its dependencies: nloptr
, pbkrtest
, lme4
, car
, rstatix
, FactoMineR
, ggpubr
)
any idea?
thanks
ps:
- R version 4.0.0
- centos 7
last part of logs:
...ANSWER
Answered 2022-Mar-08 at 22:50I solved this problem by sudo apt-get install libnlopt-dev
.
QUESTION
I am looking at biological data of guinea pig with 2 treatment groups (hifat or no hifat diet) and when I facet_wrap the boxplots and add the stat_compare_means (t.test) function, the p-value is cut off. When I remove the scales="free", it still cuts off the p-value. I used the function to move the wording but since all graphs have different scales a fixed value for instance at y=1 would force all the axes to be the same. Would love any guidance.
...ANSWER
Answered 2022-Mar-09 at 00:22Thank you for editing your question to add an example dataset! Here is a potential solution:
QUESTION
I am trying to make an interaction plot in sjPlot showing percent probabiliites of my outcome under two conditions of my predictive variable. Everything works perfectly, except the show.values = T and sort.est = T arguments, which don't seem to do anything. Is there a way to get this to work? Or, if not, how can I extract the dataframe sjPlot is using to create this figure? Looking for some way to either label or tabulate the displayed probability values. Thank you!
Here is some example data and what I have so far:
...ANSWER
Answered 2022-Mar-06 at 22:30sjPlot
produces a ggplot object, so you can examine the aesthetic mappings and underlying data. After a bit of digging around you will find the default mapping is already correct for the x, y placements of text labels, so all you need to do is add a geom_text
to the plot, and only need to specify the labels as an aesthetic mapping. You can get the labels from a column called predicted
stored in the ggplot object.
The upshot is that if you add the following layer to your plot:
QUESTION
I am trying to label the left facet side of my graph while leaving out the annotations on the right side.
DataHere are my libraries and data:
...ANSWER
Answered 2022-Mar-06 at 05:48In this case, I'll use geom_text
instead of annotate
, since it allows you to have subset
of your data.
QUESTION
I am trying to add a subscript to a ggpubr graph, which I found that I can do quite easily using parse
and a set of square brackets. However, the problem is that within the axis label, I have a second set of square brackets that should be in regular type. Something like this:
ANSWER
Answered 2022-Mar-03 at 12:40You could do:
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Install ggpubr
Install from [CRAN](https://cran.r-project.org/package=ggpubr) as follow:
Or, install the latest version from [GitHub](https://github.com/kassambara/ggpubr) as follow:
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