I am trying to make a bar graph where the largest bar would be nearest to the y axis and the shortest bar would be furthest. So this is kind of like the Table I have
Name Position
1 James Goalkeeper
2 Frank Goalkeeper
3 Jean Defense
4 Steve Defense
5 John Defense
6 Tim Striker
So I am trying to build a bar graph that would show the number of players according to position
p <- ggplot(theTable, aes(x = Position)) + geom_bar(binwidth = 1)
but the graph shows the goalkeeper bar first then the defense, and finally the striker one. I would want the graph to be ordered so that the defense bar is closest to the y axis, the goalkeeper one, and finally the striker one. Thanks
Reordering in ggplot is done using theme() function. Within this, we use axis. text. x with the appropriate value to re-order accordingly.
Under Chart Tools, on the Design tab, in the Data group, click Select Data. In the Select Data Source dialog box, in the Legend Entries (Series) box, click the data series that you want to change the order of. Click the Move Up or Move Down arrows to move the data series to the position that you want.
If you want the bar graph to go in descending order, put a negative sign on the target vector and rename the object. Then draw the bar graph of the new object.
To order bars in descending order, we can use fct_rev(), another function from forcats package. We use this to reverse the order of factors after ordering with fct_reorder(). Now we have bars ordered in descending order. We can also use reorder to order the bars in descending order.
@GavinSimpson: reorder
is a powerful and effective solution for this:
ggplot(theTable,
aes(x=reorder(Position,Position,
function(x)-length(x)))) +
geom_bar()
The key with ordering is to set the levels of the factor in the order you want. An ordered factor is not required; the extra information in an ordered factor isn't necessary and if these data are being used in any statistical model, the wrong parametrisation might result — polynomial contrasts aren't right for nominal data such as this.
## set the levels in order we want
theTable <- within(theTable,
Position <- factor(Position,
levels=names(sort(table(Position),
decreasing=TRUE))))
## plot
ggplot(theTable,aes(x=Position))+geom_bar(binwidth=1)
In the most general sense, we simply need to set the factor levels to be in the desired order. If left unspecified, the levels of a factor will be sorted alphabetically. You can also specify the level order within the call to factor as above, and other ways are possible as well.
theTable$Position <- factor(theTable$Position, levels = c(...))
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