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2012-06-06T06:28:04.733
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After reading the comments here, I have included histograms in the version 0.9.4 of the sparkTable package. Basically in the same style as the previous Answer suggested. Here are two examples: 1) Only for plotting a sparkHist (not very exciting) 2) For creating a sparkTable with boxplots and histograms for normal and lognormal distributed data <pre><code>#Example newSparkHist hh <- newSparkHist(values=rnorm(100)) plotSparks(hh, outputType='pdf', filename='testHist1') #Example sparkTable with Hist+Box with 2 variables in 10 different groups datEx <- data.frame(variable=sample(paste("Cat",1:10,sep="_"),1000,replace=TRUE), value=rnorm(1000),value2=rlnorm(1000)) b <- newSparkBox() h <- newSparkHist() content <- list(function(x) { round(mean(x),2) }, function(x) { round(median(x),2) }, function(x) { round(quantile(x,.25),2) }, function(x) { round(quantile(x,.75),2) }, b, h, function(x) { round(mean(x),2) }, function(x) { round(median(x),2) }, function(x) { round(quantile(x,.25),2) }, function(x) { round(quantile(x,.75),2) }, b, h ) names(content) <- c(paste(c("Mean","Median","Q25","Q75","Boxplot","Histogram"), "_v1",sep=""), paste(c("Mean","Median","Q25","Q75","Boxplot","Histogram"),"_v2",sep="") ) varType <- c(rep("value",length(content)/2),rep("value2",length(content)/2)) datEx <- reshapeExt(datEx,idvar="variable", varying=list(2,3)) x2 <- newSparkTable(datEx, content, varType) plotSparkTable(x2, outputType="html", graphNames="o2",filename="t1") </code></pre>
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