I am following up on previous posts regarding similar questions. I am trying to change the y axis limits on a simple bar graph and what has been suggested in previous posts does not seem to work. The first graph below displays the different bars, but the second one, specifying the y-axis limits does not. Any idea why? Thanks.
group1=rep(1:5,5)
df=cbind(cars,group1)
means<-aggregate(speed~group1,df, mean)
ggplot(data=means,aes(x=group1,y=speed))+geom_bar(stat="identity",position="dodge")
ggplot(data=means,aes(x=group1,y=speed))+geom_bar(stat="identity",position="dodge")+
scale_y_continuous(limits=c(10,20))
Related
This question already has answers here:
geom_bar bars not displaying when specifying ylim
(4 answers)
Closed 9 months ago.
I am trying to create a barplot using ggplot2, with the y axis starting at a value greater than zero.
Lets say I have the means and standard errors for hypothetical dataset about carrot length at three different farms:
carrots<-NULL
carrots$Mean<-c(270,250,240)
carrots$SE<-c(3,4,5)
carrots$Farm<-c("Plains","Hill","Valley")
carrots<-data.frame(carrots)
I create a basic plot:
p<-ggplot(carrots,aes(y=Mean,x=Farm)) +
geom_bar(fill="slateblue") +
geom_errorbar(aes(ymin=Mean-SE,ymax=Mean+SE), width=0)
p
This is nice, but as the scale runs from 0 to it is difficult to see the differences in length. Therefore, I would like to rescale the y axis to something like c(200,300). However, when I try to do this with:
p+scale_y_continuous('Length (mm)', limit=c(200,300))
The bars disappear, although the error bars remain.
My question is: is it possible to plot a barplot with this adjusted axis using ggplot2?
Thank you for any help or suggestions you can offer.
Try this
p + coord_cartesian(ylim=c(200,300))
Setting the limits on the coordinate system performs a visual zoom;
the data is unchanged, and we just view a small portion of the original plot.
If someone is trying to accomplish the same zoom effect for a flipped bar chart, the accepted answer won't work (even though the answer is perfect for the example in the question).
The solution for the flipped bar chart is using the argument ylim of the coord_flip function. I decided to post this answer because my bars were also "disappearing" as in the original question while I was trying to re-scale with other methods, but in my case the chart was a flipped one. This may probably help other people with the same issue.
This is the adapted code, based on the example of the question:
ggplot(carrots,aes(y=Mean,x=Farm)) +
geom_col(fill="slateblue") +
geom_errorbar(aes(ymin=Mean-SE,ymax=Mean+SE), width=0) +
coord_flip(ylim=c(200,300))
Flipped chart example
I'm really new to R and i'm trying to group the x axis together instead it being separate like it it and also move the legend.
Graph and Code http://127.0.0.1:41763/graphics/plot_zoom_png?width=1200&height=455
Ran<-table(data$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 have an issue very similar to this thread Combining Bar and Line chart (double axis) in ggplot2.
I followed the answer and everything works perfectly well. However, I have very small proportions (secondary axis) so I want to change the limits of the secondary y-axis. Is there a simple way to do that?
I saw older threads where the answer was to merge the two plots. I was wondering if there may be a new more simpler way to address the limit issue.
Thanks!
I am attempting to plot lots of graphs on the fly and I chanced upon the facet_wrap functionality. It produced the desired results until I realised that it was not assigning individual axes headings. There was just a single X and Y axis heading for a whole set of graphs. What I'm looking for is a way to assign individual axes headings for each graph.
Is this possible using the facet_wrap functionality at all?
Looking forward to any suggestions and advice.
EDIT:
(removed previous, incorrect, answer)
It is my understanding that if the axes of your plots are not the same (i.e. require different labels), the way to go would be with multiple separate plots (on the same page), and not with facet_wrap.
This question already has answers here:
geom_bar bars not displaying when specifying ylim
(4 answers)
Closed 9 months ago.
I am trying to create a barplot using ggplot2, with the y axis starting at a value greater than zero.
Lets say I have the means and standard errors for hypothetical dataset about carrot length at three different farms:
carrots<-NULL
carrots$Mean<-c(270,250,240)
carrots$SE<-c(3,4,5)
carrots$Farm<-c("Plains","Hill","Valley")
carrots<-data.frame(carrots)
I create a basic plot:
p<-ggplot(carrots,aes(y=Mean,x=Farm)) +
geom_bar(fill="slateblue") +
geom_errorbar(aes(ymin=Mean-SE,ymax=Mean+SE), width=0)
p
This is nice, but as the scale runs from 0 to it is difficult to see the differences in length. Therefore, I would like to rescale the y axis to something like c(200,300). However, when I try to do this with:
p+scale_y_continuous('Length (mm)', limit=c(200,300))
The bars disappear, although the error bars remain.
My question is: is it possible to plot a barplot with this adjusted axis using ggplot2?
Thank you for any help or suggestions you can offer.
Try this
p + coord_cartesian(ylim=c(200,300))
Setting the limits on the coordinate system performs a visual zoom;
the data is unchanged, and we just view a small portion of the original plot.
If someone is trying to accomplish the same zoom effect for a flipped bar chart, the accepted answer won't work (even though the answer is perfect for the example in the question).
The solution for the flipped bar chart is using the argument ylim of the coord_flip function. I decided to post this answer because my bars were also "disappearing" as in the original question while I was trying to re-scale with other methods, but in my case the chart was a flipped one. This may probably help other people with the same issue.
This is the adapted code, based on the example of the question:
ggplot(carrots,aes(y=Mean,x=Farm)) +
geom_col(fill="slateblue") +
geom_errorbar(aes(ymin=Mean-SE,ymax=Mean+SE), width=0) +
coord_flip(ylim=c(200,300))
Flipped chart example