[R] Axis Formats with library(car)

[John Fox]

Dear Krishnan,

This behaviour isn't particular to scatterplot() in car. Try setting
options(scipen=10) and see ?options.

I hope this helps,
 John

--------------------------------
John Fox
Senator William McMaster
  Professor of Social Statistics
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
http://socserv.mcmaster.ca/jfox


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On
> Behalf Of Krishnan Viswanathan
> Sent: October-13-11 6:44 AM
> To: r-help at r-project.org
> Subject: [R] Axis Formats with library(car)
> 
> I am trying to develop scatter plots using library(car). However, the
output
> I am getting shows the axis (x and y) in scientific notation. I want to
have
> the axis represented by regular integers (for eg. the X axis i want the
upper
> bound to show as 40,000,000 instead of 4.0e+07). Scanning the r-help
archives
> did not get me the answer.
> 
> 
> I have uploaded my data here: http://bit.ly/olgMLt (scatter_example.csv).
> The resulting graph is shown here:
> http://bit.ly/r8XxUA(business_orig_scatterplot.pdf). My code is as
> follows:
> 
> estimation_data <- read.csv("scatter_example.csv",head=TRUE,sep=",")
> library(car)
> scatterplot(Bus_Orig ~ POP1995, data=estimation_data,
>      xlab="Population (1995)", ylab="Business Origins",
>    main="Scatter Plot - State Levels",
>    labels=row.names(estimation_data), boxplots=FALSE)
> 
> I tried the following as well which gave me no results.
> 
> # Trying to show #s in non-scientific format for presentation
> estimation_data$BO <- format(estimation_data$Bus_Orig, scientific = FALSE,
> big.mark = ",")
> estimation_data$P95 <- format(estimation_data$POP1995, scientific = FALSE,
> big.mark = ",")
> 
> scatterplot(Bus_Orig ~ POP1995, data=estimation_data,
>      xlab="Population (1995)", ylab="Business Origins",
>    main="Scatter Plot - State Levels",
>             xlim=estimation_data$P95, ylim=estimation_data$BO,
>    labels=row.names(estimation_data), boxplots=FALSE)
> 
> So any pointers to fix this would be helpful.
> 
> TIA,
> Krishnan
> 
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> 
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