是否可以使用sparkTable绘制直方图？

Question

我可以做一个sparkBar，但没有sparkHist。这可能吗？

这是一个如何创建sparkBar的示例（来自example(newSparkBar)：

library(sparkTable)
data(pop)
x <- pop[pop[,2]=="Insgesamt",3]
b <- newSparkBar(values=x-min(x))
getParameter(b, type="values")
b <- setParameter(b, c("darkred", "darkgreen","black"), type="barCol")
plotSparks(b, outputType="pdf", filename="testBar1")

Answer 1

在阅读了这里的评论之后，我在sparkTable软件包的0.9.4版中包含了直方图。基本上与之前的答案建议的风格相同。

以下是两个例子：

1）仅用于绘制sparkHist（不是非常令人兴奋）

2）用于创建带有用于正态和对数正态分布式数据的箱线图和直方图的sparkTable

#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")

Answer 2

你有什么想法吗？ （它很容易被包裹成newSparkHist功能，但我没有打扰......）

library(sparkTable)
data(alcohol)
hvals <- hist(alcohol$value,plot=FALSE)$counts
b <- newSparkBar(values=hvals,barCol=c("gray","gray","black"))
plotSparks(b, outputType="png", filename="testBar1")