I am very new to R and just did my first chart:
View Plot
Could you help me understand how I can change the order of the x axis and apply coloring to the different pieces of the mosaic chart?
I would also like to reduce the spacing between the pieces (linebreaks for text?), remove the black borders and avoid the heading to overlap.
Many thanks for any help! I would really appreciate it.
you just need to specify the levels of your factor in the order you want.
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I'm really new to R and i'm trying to group the x axis together instead it being separate like it it and also move the legend.
Graph and Code http://127.0.0.1:41763/graphics/plot_zoom_png?width=1200&height=455
Ran<-table(data$class, data$feeling)
Raw<-barplot(Ran, main="Class Feeling",xlab="Feeling", col=c("darkblue","red"), legend = rownames(Ran), beside=TRUE)
I would help with moving the legend and have the x-axis grouped as one. on the group its two separate, like Great and Great, where i just want one great on the group with the data together by the different times
You can specify legend position and others by using args.legend(). Unfortunately I can't tell you exactly what to do without knowing what data set would looks. However, I think this page might help you.
I often have to use plots mixing lines and points (ggplot2), with the colors of the line representing one variable (here, "Dose"), and the shape of the points another one (here, "Treatment). Figure 1 shows what I typically get:
Figure 1: what I get
I like having different legends for the two variables, but would like to remove the round markers from the color scale, to only show the colors (see legend mockup below, made with Gimp). Doing so would allow me to have a clean legend, with colors and shapes clearly segregated.
Figure 2 (mockup): what I would like
Would anyone know if there is a way to do that? Any help would be much appreciated.
Note: the plots above show means and error bars, but I have the same problem with any plot mixing geom_line and geom_point, even simple ones.
Thanks in advance !
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
I'm attempting to try and increase the vertical spacing between multiple x-axes using JFreeChart. Currently, my charts look like this:
Current chart
However, I need to produce something like the following so that the x-axes are more clearly defined (note that the vertical spacing between the x-axes is larger than in the first image):
Desired chart
Does any one have any idea on how to do this? I've been searching the JFreeChart API for > 2 days now and can't find anything that directly addresses the issue other than attempting to use org.jfree.chart.axis.AxisSpace in some way.
Many thanks for any help!
One approach would be to customise the axis label insets (that is, increase the space below each axis label).
http://www.jfree.org/jfreechart/api/javadoc/org/jfree/chart/axis/Axis.html#setLabelInsets-org.jfree.ui.RectangleInsets-
I'm working on a really complicated heatmap figure in R. heatmap.2 from the gplots package is not enough for me, because I want multiple sidebar annotations, such as the heatmap.3 function permits: https://www.biostars.org/p/18211/
Here's my specific plot so far:
When I have multiple sidebar annotations on this heatmap, though, they need to be properly labeled with a legend. The legend quickly becomes unwieldy and starts bleeding off the plot or into other labels on the plot, depending on where I choose to place the legend.
I've tried using the ncols option when placing the legend at the bottom of the plot but the legend contains information about several factors worth of metadata, and I want a separate column in the legend to denote each sidebar's worth of metadata. As far as I know there is no option in the legend command to permit this functionality, so I'm interested in hearing potential ways around this.
Alternatively, I am also open to the idea of simply generating a legend image with R separately if anyone knows how to do this.
Thanks!