I have a barplot and the names for the bars are all vertical on the x-axis. However, the names are fairly long and don't show completely in the plot. Is there any command I can use to zoom out the plot? I have already tried the package "zoom" and zm() but it doesn't work.
One way to handle this is to increase the margin size before plotting. Here is a simple example. First, to show the problem:
LongNames = c("RatherLongName_1", "RatherLongName_2",
"RatherLongName_3", "RatherLongName_4")
barplot(1:4, names.arg=LongNames, las=3)
Then with the margins adjusted.
par(mar=c(10,4,4,2))
barplot(1:4, names.arg=LongNames, las=3)
I am trying to create horizontal bar chart in in R using the plotly package. Due to the length of the legend items I would like for them to show horizontally at the top or bottom of the visual in 2 columns. Is it possible to dictate the number of columns for the legend?
I've been able to place the legend below the x axis successfully using Layout(legend = list(orientation='h')) however regardless of where I put the legend (using the x and y arguments) it is always just one long list. I've seen a github project for creating a multi column legend in js but not r.
Thanks,
This is not possible in a normal way. I think it has its own logic that determines how many place there it is and how many columns it will display then.
So I guess if you make your plot width smaller you could reach the goal that it will just display 2 column.
Also you can try to play around with the margin attribute (https://plot.ly/r/reference/#layout-margin) by setting r and l to 10 e.g.
An other idea could be to make the font-size in legend (https://plot.ly/r/reference/#layout-legend-font-size) bigger, so that it just uses two columns. Hope it helps.
I read the same github page and I thought that it is not possible, but seems to be! I only checked in Python, but I hope this will help in your endeavors in R as well as everyone in Python looking for information. Sadly, there is not a lot of information on Plotly here compared to other packages.
This solved my problem
Setting orientation='h' is not enough. You also have to put the legend items in different legendgroups, if you want them in different columns. Here is an example with legend labels:
fig = go.Figure([
go.Scatter(x=best_neurons_df['Test Size'],
y=best_neurons_df['Training Accuracy Max'],
# You can write anything as the group name, as long as it's different.
legendgroup="group2",
name='Training',
mode='markers',
go.Scatter(x=best_neurons_df['Test Size'],
y=best_neurons_df['Validation Accuracy Max'],
# You can write anything as the group name, as long as it's different.
legendgroup="group1",
layout=dict(title='Best Model Dependency on Validation Split',
xaxis=dict(title='Validation Set proportion'),
yaxis=dict(title='Accuracy'),
margin=dict(b=100, t=100, l=0, r=0),
legend=dict(x=1, y=1.01,xanchor='right', yanchor='bottom',
title='',
orientation='h', # Remember this as well.
bordercolor='black',
borderwidth=1
))
Example image
Hopefully a simple question for the community tonight:
I'm creating a boxplot with particularly long xlabels, which are rotated. The issue I'm running in to is that regardless of what plot window size I set using
dev.new(width=999, height=999)
The plot itself stretches to fill the window,and the x labels are chopped.
How do I resize the plot itself, regardless of window size?
My current plotting code is:
boxplot(mean_density~Landscape*category,ylab="Mean density",las=2,data=data1C)
The reason the X labels are so long is because of that landscape*category piece.
Thanks in advance!!
Thanks to MrFlicks quick response I managed to track down the mar() function within par().
boxplot(mean_density~Land.Cat,ylab="Mean density",las=2,data=data1C)
generated:
whereas
boxplot(mean_density~Land.Cat,ylab="Mean_density",las=2,par(mar=c(9,4,1,4)),data=data1C)
generates:
Figured it'd be an easy one:-D thanks for the help!
I want to remove the light gray grid lines from a Lattice dotplot. After searching R help pages, Sarkar's book, and the web, the one answer I've found is this post, which explains that you can set the grid line width to zero for all dotplots using this magic:
## turn off grid lines
d1 <- trellis.par.get("dot.line")
d1$lwd <- 0 ## hack -- set line width to 0
trellis.par.set("dot.line",d1)
Example: Try dotplot(VADeaths[,"Rural Female"]) before and after doing the preceding.
This solution works, but I would have thought that there would be a way to control the grid lines from inside the dotplot function, perhaps using a panel function. Is there a way to do that? (An authoritative "No" could count as a correct answer.)
Setting col.line = "transparent" inside panel.dotplot should solve this issue. See also ?panel.dotplot.
dotplot(VADeaths[, "Rural Female"], panel = function(...) {
panel.dotplot(..., col.line = "transparent")
})
I'm new to R but I've made numerous correlation plots with smaller data sets. However, when I try to plot a large dataset (2gb+), I can produce the plot just fine, but the legend doesn't show up. Any advice? or alternatives?
library(gplots)
r.cor <- cor(r)
layout(matrix(c(1,1,1,1,1,1,1,1,2,2), 5, 2, byrow = TRUE))
par(oma=c(5,7,1,1))
cx <- rev(colorpanel(25,"yellow","black","blue"))
leg <- seq(min(r.cor,na.rm=T),max(r.cor,na.rm=T),length=10)
image(r.cor,main="Correlation plot Normal/Tumor data",axes=F,col=cx)
axis(1, at=seq(0,1,length=ncol(r.cor)), labels=dimnames(r.cor)[[2]],
cex.axis=0.9,las=2)
axis(2,at=seq(0,1,length=ncol(r.cor)), labels=dimnames(r.cor)[[2]],
cex.axis=0.9,las=2)
image(as.matrix(leg),col=cx,axes=T)
Error in plot.new() : figure margins too large
tmp <- round(leg,2)
axis(1,at=seq(0,1,length=length(leg)), labels=tmp,cex.axis=1)
This error can occur in Rstudio simply because your "Plots" pane is just barely too small. Try zooming your "Files, Plots, Packages, Help, Viewer" and see if it helps!
The problem is that the small figure region 2 created by your layout() call is not sufficiently large enough to contain just the default margins, let alone a plot.
More generally, you get this error if the size of the plotting region on the device is not large enough to actually do any plotting. For the OP's case the issue was having too small a plotting device to contain all the subplots and their margins and leave a large enough plotting region to draw in.
RStudio users can encounter this error if the Plot tab is too small to leave enough room to contain the margins, plotting region etc. This is because the physical size of that pane is the size of the graphics device. These are not independent issues; the plot pane in RStudio is just another plotting device, like png(), pdf(), windows(), and X11().
Solutions include:
reducing the size of the margins; this might help especially if you are trying, as in the case of the OP, to draw several plots on the same device.
increasing the physical dimensions of the device, either in the call to the device (e.g. png(), pdf(), etc) or by resizing the window / pane containing the device
reducing the size of text on the plot as that can control the size of margins etc.
Reduce the size of the margins
Before the line causing the problem try:
par(mar = rep(2, 4))
then plot the second image
image(as.matrix(leg),col=cx,axes=T)
You'll need to play around with the size of the margins on the par() call I show to get this right.
Increase the size of the device
You may also need to increase the size of the actual device onto which you are plotting.
A final tip, save the par() defaults before changing them, so change your existing par() call to:
op <- par(oma=c(5,7,1,1))
then at the end of plotting do
par(op)
If you get this message in RStudio, clicking the 'broomstick' figure "Clear All Plots" in Plots tab and trying plot() again may work.
This sometimes happen in RStudio. In order to solve it you can attempt to plot to an external window (Windows-only):
windows() ## create window to plot your file
## ... your plotting code here ...
dev.off()
I got this error in R Studio, and was simply fixed by making the sidebar bigger by clicking and dragging on its edge from right to left.
Picture here: https://janac.medium.com/error-in-plot-new-figure-margins-too-large-in-r-214621b4b2af
Check if your object is a list or a vector. To do this, type is.list(yourobject). If this is true, try renaming it x<-unlist(yourobject). This will make it into a vector you can plot.
Just zoom this area if you use RStudio.
I found this error today. Initially, I was trying to output it to a .jpeg file with low width and height.
jpeg("method1_test.jpg", width=900, height=900, res=40)
Later I increased the width and height to:
jpeg("method1_test.jpg", width=1900, height=1900, res=40)
The error was not there. :)
You can also play with the resolution, if the resolution is high, you need more width and height.
I had this error when I was trying to plot high dimensional data. If that's what is going on with you, try multidimensional scaling: http://www.statmethods.net/advstats/mds.html
I struggled with this error for weeks (using RStudio). I tried moving the plot window bigger and smaller, but that did not consistently help. When I moved (dragged) the application to my bigger monitor, the problem disappeared! I was stunned... so many wasted hours... I knew my code was correct...
If margin is low, then it is always better to start with new plotting device:
dev.new()
# plot()
# save your plot
dev.off()
You will never get margin error, unless you plot something large which can not be accommodated.
RStudio Plots canvas is limiting the plot width and heights. However if you make your plot from Rmarkdown code chunk, it works without canvas field limitation because plotting area set according to the paper size.
For instance:
```{r}
#inside of code chunk in Rmarkdown
grid <- par(mfrow=c(4, 5))
plot(faithful, main="Faithful eruptions")
plot(large.islands, main="Islands", ylab="Area")
...
par(grid)
```
I found the same error today. I have tried the "Clear all Plots" button, but it was giving me the same error. Then this trick worked for me,
Try to increase the plot area by dragging. It will help you for sure.
I have just use the Clear all plots then again give the plot command and it was helpfull