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Two series will contain data and plot points as specified in the data that it takes as input in the code above. Each of the series will be plotted based on interactive javascript feature visualizations with the help of rCharts package in R. This is an example of interactive charts that will be created which will represent two series. Then use below code snippet: y + scale_x_discrete(limits = rev(levels(PlantGrowth$group))) Library(ggplot2) y <- ggplot(PlantGrowth, aes(x=group, y=weight)) + # Reverse the order of a discrete-valued axisĪs we can see, the order is changed from (ctrl, trt1, trt2) to (trt2, trt1, ctrl).Īlternatively, we can use a built-in function called “scale_x_discrete()” only to accomplish this as per below in a single line command. Then use below code snippet: # Manually set the order of a discrete-valued axis Y <- ggplot(PlantGrowth, aes(x=group, y=weight)) + Example of above is taken and output is shown below. Post this, we can reverse the order and represent the values in a different manner. Then we can reverse the order of a discrete value axis and get the levels of the factor. We can manually set the order of a discrete-valued axis. Yes it is feasible to change the order of items using R. p1 + labs(x = "Miles Per Gallon", y="Weight").p1 p The above can be accomplished with something as suggested below. The colour palette also acts in a similar fashion and it has to be defined.We need to customize to change the label names using – “labs(x=”Miles Per Gallon”, y= “Weight”) etc. if we consider the “mtcars” dataset, if columns are “wt” and “mpg”, then it will appear that as default.
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