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POX scale values very compacted on R plots with lattice
 

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  1. POX scale values very compacted on R plots with lattice
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    <p>I'm using this code to generate a plot:</p> <pre><code>require(lattice) allcol &lt;- c("blue","chocolate4","cornflowerblue","chartreuse4","brown3","darkorange3","darkorchid3","red","deeppink4","lightsalmon3","yellow","mistyrose4","seagreen3","green","violet","palegreen4","grey","slateblue3","tomato2","darkgoldenrod2","chartreuse","orange","black","yellowgreen","slategray3","navy","firebrick1","darkslategray3","bisque3","goldenrod4","antiquewhite2","coral","blue4","cyan4","darkred","orangered","purple4","royalblue4","salmon") names(logfile2d) &lt;- c("Date","Client","Operations") logfile2d &lt;- read.table(file="/var/lib/nfs-estadoclientes/nfsclients-2d.log") logfile=logfile2d col=allcol[0:length(levels(logfile$Client))] svg(filename="/var/lib/nfs-estadoclientes/nfsclients-2d.svg",width=14,height=7) xyplot(Operations~Date,group=Client,data=logfile,jitter.x=T,jitter.y=T, aspect = 0.5, type = "l", par.settings=list(superpose.line=list(col=col,lwd=3)), xlab="Time", ylab="Operations", main="NFS Operations (last 2 days, only clients with &gt;40 operations/sec)", key=list( text=list(levels(logfile$Client)), space='right', lines=list(col=col),columns=1,lwd=3,cex=0.75)) dev.off() </code></pre> <p>But the generated plot prints way much X scale values, and they can't be read. The X scale values are a date and an hour, on this format: "mounth/day hour:minute". It seems that R don't get these values as numbers, and tries to write down all of them.</p> <pre><code>&gt; dput(head(logfile$Date)) structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("01/09-06:43", "01/09-06:53", "01/09-07:03", "01/09-07:13", "01/09-07:23", "01/09-07:33", "01/09-07:43", "01/09-07:53", "01/09-08:03", "01/09-08:13", "01/09-08:23", "01/09-08:33", "01/09-08:43", "01/09-08:53", "01/09-09:03", "01/09-09:13", "01/09-09:23", "01/09-09:33", "01/09-09:43", "01/09-09:53", "01/09-10:03", "01/09-10:13", "01/09-10:23", "01/09-10:33", "01/09-10:43", "01/09-10:53", "01/09-11:03", "01/09-11:13", "01/09-11:23", "01/09-11:33", "01/09-11:43", "01/09-11:53", "01/09-12:03", "01/09-12:13", "01/09-12:23", "01/09-12:33", "01/09-12:43", "01/09-12:53", "01/09-13:03", "01/09-13:13", "01/09-13:23", "01/09-13:33", "01/09-13:43", "01/09-13:53", "01/09-14:03", "01/09-14:13", "01/09-14:24", "01/09-14:33", "01/09-14:43"), class = "factor") </code></pre> <p>Maybe the best strategy is to omit intermediate values, but I don't know how. I don't know how to make R aware that these are numeric values neither.</p> <p><img src="https://i.stack.imgur.com/kl91z.png" alt="Screenshot of the generated plot"></p>
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    1. This table or related slice is empty.
    1. PTQuestion
    1. USJorge Suárez de Lis
    1. USJorge Suárez de Lis
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    1. This table or related slice is empty.
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    1. This table or related slice is empty.
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    1. This table or related slice is empty.
    1. COYou need to play with the argument `scales` in the call to `xyplot`. Experiment a bit until you get the density of tickmarks and labels you want. I think you can modify the text by including a `name = sprintf({your_format_here},data}` entry as well.
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      1. POX scale values very compacted on R plots with lattice
      1. USCarl Witthoft
    2. COI think you should make `Date` into a true date variable using the `as.Date` function. See the help, or include `dput(head(logfile$Date))` to get people here to chime in.
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      1. POX scale values very compacted on R plots with lattice
      1. USAaron
    3. COOk, tried this but it doesn't work `Operations~Date <- lapply(Operations~Date, as.Date, format="%m/%d-%H:%M")`. I'm posting the output from `dput(head(logfile$Date))` on the main post.
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      1. POX scale values very compacted on R plots with lattice
      1. USJorge Suárez de Lis
 

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