Over-jittering?

[Joseph Voelkel]

It seems that there is over-jittering in the following example. Ideas?

 

# Read in abalone data

abalone<-read.csv(url("http://archive.ics.uci.edu/ml/machine-learning-databases/abalone/abalone.data"),

                header=FALSE)

names(abalone)<-c("Sex", "Length", "Diameter", "Height",

                "WholeWgt", "ShuckedWgt", "VisceraWgt", "ShellWgt", "Rings")

str(abalone)

 

# find ranges

range(abalone$Diameter) # note this range in particular

range(abalone$Rings)

 

# make 3 graphs

windows(4,4)

qplot(Diameter, Rings, data=abalone)

                # all seems fine

 

windows(4,4)

qplot(Diameter, Rings, data=abalone, position="jitter")

                # Rings: seems fine

                # But Diameter is over-jittered

 

# swap x,y

windows(4,4)

qplot(Rings,Diameter, data=abalone, position="jitter")

                # Both Rings and Diameter seem fine

 

Joe

 

 

Joseph G. Voelkel, Ph.D.

Professor, Center for Quality and Applied Statistics

Hugh Carey Bldg, 14-2530

Kate Gleason College of Engineering

Rochester Institute of Technology

V 585-475-2231

F 585-475-5959

joseph....@rit.edu

 

[Roman Luštrik]

Have you tried controlling for the "width" and "height" of jitter? I would also recommend you add some transparency to your plot to show the more dense group in the middle. Something along the lines of 

ggplot(abalone, aes(x = Diameter, y = Rings)) +

  theme_bw() +

  geom_jitter(position = position_jitter(width = 0.1, height = 0.25), alpha = 0.25)

Cheers,

Roman

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[Jeremy Miles]

You can have finer control of jittering with the geom_jitter() function. http://docs.ggplot2.org/0.9.3.1/geom_jitter.html

That might be a solution.

Jeremy

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