# #——回声= FALSE - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -选项(markdown.HTML。选项= toc) # #——回声= FALSE - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - # #删除目标目录,如果他们已经存在。c(子目录(“static-example”、“static-example2”,“static-example3”,“static-example4”)){如果(file.exists(子目录))拆开(子目录递归= TRUE)} # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - n < - 100 x < - rnorm (n) y < - rnorm (n)单词< -代表(c (“A”、“几”、“单词”),长度= n)数字< -代表(c(42岁,π3 1),长度= n) < -代表上校(c(“红”,“橙色”,“黄”、“绿”、“蓝”、“紫色”),长度= n)散射。数据< - data.frame (x = x, y = y,话说=话说,数字=数字,颜色=坳)头(scatter.data) # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -情节(x, y,主要=“散点数据”,pch = 19日坳=坳)# #——结果=“隐藏”- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - plotfile <——tempfile (fileext = " . ") svg (plotfile、宽= 9,高= 7)情节(x, y,主要=“散点数据”,pch = 19日=坳)上校dev.off = FALSE() # #——警告,消息= FALSE - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - < - static.analysis图书馆(AnalysisPageServer)结果。页面(outdir = " static-example”, svg。文件= plotfile dfs =散射。数据显示。xy = TRUE, title =“随机散射数据”)# # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - # #——回声= FALSE结果- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -库(knitr)。链接< -函数(因此,标题){< url -子(“。* AnalysisPageServer /小插曲”、“”,结果URL)如果美元(失踪(标题))标题< - URL asis_output (paste0 (“标题:“"))}make.link(结果)# # - - - - - eval = FALSE - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - # browseURL(结果$ URL) # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -头(汽车)# # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - # #汽车停止距离在每个列表dist.by速度。速度< -分裂(汽车经销美元,汽车速度美元)# #每个速度(向量)的平均停车距离avg.dist < -酸式焦磷酸钠(dist.by。速度,意味着)# #测量的数量在每个速度n.at(向量)。< -酸式焦磷酸钠(dist.by速度。速度、长度)# #的数量不同的速度观察n。速度< -长度(dist.by.speed) # #酒吧的x坐标x < - 1: n的阴谋。速度# #坐标酒吧的阴谋。barplots元素的# #记录下他们的底部坐标,这些都是0 y < -代表(0,n.speeds) barplot (n.at。速度,ylab = "的汽车数量”,xlab =“速度(英里/小时)”,cex.names = 0.8) # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - dist.summaries < - t(酸式焦磷酸钠(dist.by。速度、总结)colnames (dist.summaries) < -粘贴(colnames (dist.summaries),“距离”)的汽车。数据< - data.frame (x = x, y = y,速度= as.integer(名称(avg.dist)), n = n.at。速度、dist.summaries check.names = FALSE)头(cars.data) # #——结果=“隐藏”- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - plotfile2 < - tempfile (fileext = " . ") svg(文件名= plotfile2宽度= 9,身高= 7)barplot (n.at。速度,ylab = "的汽车数量”,xlab =“速度(英里/小时)”cex.names = 0.8) dev.off() # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -头(iris) # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - svg。文件< - c (plotfile plotfile2, NA) dfs < -列表(散射。数据,汽车。数据、虹膜)标题< - c(“随机散射数据”,“汽车数据集从R”的总结,“虹膜数据”)# #我们将展示的XY坐标系散射数据,有# #一些意义解读数据,但不是barplot, # #,他们只是用于定位策划的元素。# #第三个元素的显示。xy忽略由于没有阴谋。 result <- static.analysis.page(outdir = "static-example2", svg.files = svg.files, dfs = dfs, show.xy = c(TRUE, FALSE, TRUE), title = captions) result ## ----echo = FALSE-------------------------------------------------------- make.link(result, title = "Open the *three*-dataset report") ## ------------------------------------------------------------------------ image(volcano, xaxt = "n", yaxt = "n", main = "Maunga Whau Volcano") ## ------------------------------------------------------------------------ x <- rep(1:nrow(volcano), each = ncol(volcano)) y <- rep(1:ncol(volcano), nrow(volcano)) volcano.cells <- data.frame(x = x, y = y, Height = as.vector(t(volcano))) head(volcano.cells) ## ----results='hide'------------------------------------------------------ plotfile3 <- tempfile(fileext = ".svg") svg(filename = plotfile3, width = 9, height = 7) image(volcano, xaxt = "n", yaxt = "n", main = "Maunga Whau Volcano") dev.off() result <- static.analysis.page(outdir = "static-example3", svg.files = plotfile3, dfs = volcano.cells, show.xy = TRUE, title = "Maunga Whau Volcano") result ## ----echo = FALSE-------------------------------------------------------- make.link(result, "Link to interactive page") ## ----results = "hide"---------------------------------------------------- library(ggplot2) plotfile4 <- tempfile(fileext = ".svg") svg(filename = plotfile4, width = 7, height = 7) p <- ggplot(mtcars, aes(mpg, wt)) + geom_point() p + facet_grid(vs ~ am) dev.off() ## ------------------------------------------------------------------------ df <- mtcars xy.fields <- c("mpg", "wt") df <- df[c(xy.fields, setdiff(names(df), xy.fields))] head(df) ## ------------------------------------------------------------------------ groups <- unname(split(df, list(df$vs, df$am))) df <- do.call(rbind, groups) ## ------------------------------------------------------------------------ group.lens <- sapply(groups, nrow) ## ------------------------------------------------------------------------ result <- static.analysis.page(outdir = "static-example4", svg.files = plotfile4, dfs = df, show.xy = TRUE, title = "Motor Trend Cars Data", group.length.vecs = group.lens) ## ----echo = FALSE-------------------------------------------------------- make.link(result, "Link to interactive page")