I want to create a new figure with interactive R-plots (with tooltips).
To show how I wish to have my plots I give an example using the mtcars data. I am using the package scatterD3 to get tooltips:
library(scatterD3)
data(mtcars)
tooltips <- paste('This is an incredible <strong>',rownames(mtcars),'</strong><br />with',mtcars$cyl,'cylinders !')
scatterD3(x=mtcars$wt,y=mtcars$mpg,tooltip_text=tooltips)
Now I don't want only one plot of this type in one figure. Usually it is possible to use par(mfrow=(i,j)) to create a figure with more than one plot. But it seems not to work for my interactive plots. Is there a way to do this?
Have you given a look to the plotly R package?
It has also a function to render the ggplots in ggplotly
An idea could be to create a multiplot with ggplot2 and than render it with ggplotly.
I've not yet tried it, so I don't know if it's really possible.
Related
I am trying to make a map using R but I have some problems. The datas I have are shapefiles. I used ggplot to visualise them with this code :
ggplot(farmscot)+geom_sf()
ggplot(scotland)+geom_sf()
ggplot(river)+geom_sf()
and it gives me different graphs like this:
but I need them to be superimpose to make the map. How can I do please?
When I try to add them together R says I can't add ggplots together
Would really appreciate some help and advice, Thank you in advance
I am new to R and I have been using chromoMap library in R to visualize annotation plots and visualizing the feature-associated data. It's a great library and produces great charts. However, I was not able to find any option for changing the x-axis label from length (bp) to anything else. Because of this, I am not able to use any of the produced charts. It sounds like a small issue, but it totally affects the usability of this great package. I followed this tutorial link and produced the below chart. In my chart and all the samples, the x-axis label is fixed and this is my problem and I am looking for a way to just change it.
library(chromoMap)
chr_file_1 = "chr_file_without_centromere.txt"
anno_file_1 = "annotation_pos.txt"
chromoMap(chr_file_1,anno_file_1)
I am wondering if anybody has the same experience ?? This package produces output as a htmlwidget object and therefore I could not change the x-axis lable. Is there any way to modify a htmlwidget object? or Any way to change this bp to something else??
I want to make a windrose plot on a specific location. Windrose can be plot with openair package
library(openair)
windRose(mydata, "ws", "wd")
or with ggplot using this function. What I am looking for, a nice way to overlay this plot on a map. I tried with ggmap (I don't have a google map API key) and leaflet. This example also I tried, the output is below.
Is there a way to overlay ggplot on leaflet map or any other ggmap way to do it nicely.
That is a multi-step process and will take a bit of tweaking to make it work the way you want but it can be done in 3 steps.
Set the background of your chart to transparent
Save a png locally
Use addLogo() from mapview package to post the image to your map and place it
For sure you will need to problem solve some as you implement this process. If you are doing this in Shiny you would want to use directory management to create and destroy the plots as data updates and be sure to make the creation of the graph reactive or observed in some way.
If you are making a nice rMarkdown dashboard, just make sure you keep track of where the png file saves and use the proper addressing.
I have some code that generates a plotly image in R. Previously I included this plot in a presentation using Rstudio/ioslides. The people I am collaborating with want a version in powerpoint. I am trying to use the ReporterRs package in order to create an re-producible shell powerpoint presentation with all of my plots. However ReporterRs only accepts lattice, ggplot2, and base images. Since there is a way to convert ggplot2 objects to plotly images I was hoping there was a way to go backwards. However I am stuck. I have been unable to "downgrade" my plotly plots to ggplot2. Does anyone know if there is a way to do this?
(I know I can just copy and paste them over but I would like to develop a workflow where I can create easily reproducible and replaceable plots so that I don't have to do very much work if I change the data)
I would like to produce a series of plots in both high-resolution and low-resolution versions, or stated differently using two different file types (.png and .eps). I'd like to know the best/least repetetive way to do this. I am using the gplot function in sna, and the plot has a custom legend outside the plot area. I wrote a function something like this:
library(sna)
plotfun <- function(net){
png("test.png",width=800)
p <- gplot(net)
par(xpd=T)
legend(max(p[,1])+1,max(p[,2]),legend=letters[1:10],title="custom legend")
dev.off()
seteps()
postscript(test.eps)
#repeat all the plotting commands, which are much longer in real life
dev.off()
}
#try it with some random data
plotfun(rgraph(10))
This is perfectly functional but seems inefficient and clumsy. The more general version of this question is: if for any reason I want to create a plot (including extra layers like my custom legend), store it as an object, and then plot it later, is there a way to do this? Incidentally, this question didn't seem sna specific to me at first, but in trying to reproduce the problem using a similar function with plot, I couldn't get the legend to appear correctly, so this solution to the outside-the-plot-area legend doesn't seem general.
I would recommend generate graphs only in Postscript/PDF from R and then generate bitmaps (e.g. PNG) from the Postscript/PDF using e.g. ImageMagick with -density parameter (http://www.imagemagick.org/script/command-line-options.php#density) set appropriately to get desired resolution. For example
convert -density 100 -quality 100 picture.pdf picture.png
assuming picture.pdf is 7in-by-7in (R defaults) will give you a 700x700 png picture.
With this approach you will not have to worry that the picture comes out formatted differently depending which R device (pdf() vs png()) is used.