[R] lattice and dates (correcting e-mail formatting glitch - sorry!!)

[Michael A. Miller]

Hi Nick,

Thanks for the suggestions.  At the suggestion of another reader,
I've settled on using the chron package (from CRAN).  I'll append
an example for those who are interested.

Mike

-- 
Michael A. Miller                               mmiller3 at iupui.edu
  Imaging Sciences, Department of Radiology, IU School of Medicine




df.data <- read.table('df.log')
names(df.data) <- c( 'datestamp', 'timestamp', 'dev', 'size', 
                     'used', 'available', 'percentage', 'path')

library(chron)
library(lattice)

print( df.data$datestamp )
print( df.data$timestamp )

df.data$date <- chron( dates=as.vector(df.data$datestamp), 
                       times=times(df.data$timestamp) )
#df.data$date <- strptime( paste( df.data$datestamp, df.data$timestamp), "%D %X" )
print( df.data$date )

pos <- pretty( as.numeric( df.data$date ) )
lab <- as.character( dates(df.data$date) )
xyplot( used/size ~ as.numeric(date) | path, data=df.data,
        scales = list(x = list(at = pos, labels = lab )))


sample df.log:
06/25/02 13:48:58 node2:/data2          67638296  48221224  15981176  76% /data2
06/26/02 15:59:23 node2:/data2          67638296  52972176  11230224  83% /data2
06/27/02 12:07:45 node2:/data2          67638296  56713248   7489152  89% /data2
06/25/02 13:48:58 node3:/data3          67638296  50150280  14052120  79% /data3
06/26/02 15:59:23 node3:/data3          67638296  54900656   9301736  86% /data3
06/27/02 12:07:45 node3:/data3          67638296  56775680   7426720  89% /data3
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