使用网格和ggplot2创建连接图使用R

Question

我想知道我能做些什么来修复一个网格的情节。绘图排列成一个数组，以使一行中的所有绘图具有相同的Y轴变量，并且一列中的所有绘图具有相同的X轴变量。

当在网格中连接在一起时，会创建一个多槽。因为内部的变量和缩放比例相同，所以我禁用了除外部标签外的大多数标签。但是，由于外部图具有标签和轴值，因此它们会导致与其他尺寸不同的尺寸。

我正在考虑在网格中添加2个更多的列和行，以获取变量名称和轴范围值......然后仅绘制相应网格空间上的变量名称和另一个网格空间上的轴值，因此只绘制剩余空间中的点并获得相同的大小。

编辑1： 感谢RCS指着我向align.plot

编辑align.plot接受空值

现在我更接近（有题时所需​​的轴心不是/文字）到目标，但由于标签，第一批columun地块的宽度仍比其他地方小。

示例代码：

grid_test <- function() 
{ 
    dsmall <- diamonds[sample(nrow(diamonds), 100), ] 

    #-----/align function----- 
    align.plots <- function(gl, ...){ 
     # Obtained from http://groups.google.com/group/ggplot2/browse_thread/thread/1b859d6b4b441c90 
     # Adopted from http://ggextra.googlecode.com/svn/trunk/R/align.r 

     # BUGBUG: Does not align horizontally when one has a title. 
     # There seems to be a spacer used when a title is present. Include the 
     # size of the spacer. Not sure how to do this yet. 

     stats.row <- vector("list", gl$nrow) 
     stats.col <- vector("list", gl$ncol) 

     lstAll <- list(...) 

     dots <- lapply(lstAll, function(.g) ggplotGrob(.g[[1]])) 
     #ytitles <- lapply(dots, function(.g) editGrob(getGrob(.g,"axis.title.y.text",grep=TRUE), vp=NULL)) 
     #ylabels <- lapply(dots, function(.g) editGrob(getGrob(.g,"axis.text.y.text",grep=TRUE), vp=NULL)) 
     #xtitles <- lapply(dots, function(.g) editGrob(getGrob(.g,"axis.title.x.text",grep=TRUE), vp=NULL)) 
     #xlabels <- lapply(dots, function(.g) editGrob(getGrob(.g,"axis.text.x.text",grep=TRUE), vp=NULL)) 
     plottitles <- lapply(dots, function(.g) editGrob(getGrob(.g,"plot.title.text",grep=TRUE), vp=NULL)) 

     xtitles <- lapply(dots, function(.g) if(!is.null(getGrob(.g,"axis.title.x.text",grep=TRUE))) 
         editGrob(getGrob(.g,"axis.title.x.text",grep=TRUE), vp=NULL) else ggplot2:::.zeroGrob) 

     xlabels <- lapply(dots, function(.g) if(!is.null(getGrob(.g,"axis.text.x.text",grep=TRUE))) 
         editGrob(getGrob(.g,"axis.text.x.text",grep=TRUE), vp=NULL) else ggplot2:::.zeroGrob) 

     ytitles <- lapply(dots, function(.g) if(!is.null(getGrob(.g,"axis.title.y.text",grep=TRUE))) 
         editGrob(getGrob(.g,"axis.title.y.text",grep=TRUE), vp=NULL) else ggplot2:::.zeroGrob) 

     ylabels <- lapply(dots, function(.g) if(!is.null(getGrob(.g,"axis.text.y.text",grep=TRUE))) 
         editGrob(getGrob(.g,"axis.text.y.text",grep=TRUE), vp=NULL) else ggplot2:::.zeroGrob) 

     legends <- lapply(dots, function(.g) if(!is.null(.g$children$legends)) 
         editGrob(.g$children$legends, vp=NULL) else ggplot2:::.zeroGrob) 

     widths.left <- mapply(`+`, e1=lapply(ytitles, grobWidth), 
          e2= lapply(ylabels, grobWidth), SIMPLIFY=FALSE) 
     widths.right <- lapply(legends, grobWidth) 
     # heights.top <- lapply(plottitles, grobHeight) 
     heights.top <- lapply(plottitles, function(x) unit(0,"cm")) 
     heights.bottom <- mapply(`+`, e1=lapply(xtitles, grobHeight), e2= lapply(xlabels, grobHeight), SIMPLIFY=FALSE) 

     for (i in seq_along(lstAll)) { 
      lstCur <- lstAll[[i]] 

      # Left 
      valNew <- widths.left[[ i ]] 
      valOld <- stats.col[[ min(lstCur[[3]]) ]]$widths.left.max 
      if (is.null(valOld)) valOld <- unit(0, "cm") 
      stats.col[[ min(lstCur[[3]]) ]]$widths.left.max <- max(do.call(unit.c, list(valOld, valNew))) 

      # Right 
      valNew <- widths.right[[ i ]] 
      valOld <- stats.col[[ max(lstCur[[3]]) ]]$widths.right.max 
      if (is.null(valOld)) valOld <- unit(0, "cm") 
      stats.col[[ max(lstCur[[3]]) ]]$widths.right.max <- max(do.call(unit.c, list(valOld, valNew))) 

      # Top 
      valNew <- heights.top[[ i ]] 
      valOld <- stats.row[[ min(lstCur[[2]]) ]]$heights.top.max 
      if (is.null(valOld)) valOld <- unit(0, "cm") 
      stats.row[[ min(lstCur[[2]]) ]]$heights.top.max <- max(do.call(unit.c, list(valOld, valNew))) 

      # Bottom 
      valNew <- heights.bottom[[ i ]] 
      valOld <- stats.row[[ max(lstCur[[2]]) ]]$heights.bottom.max 
      if (is.null(valOld)) valOld <- unit(0, "cm") 
      stats.row[[ max(lstCur[[2]]) ]]$heights.bottom.max <- max(do.call(unit.c, list(valOld, valNew))) 
     } 

     for(i in seq_along(dots)){ 
      lstCur <- lstAll[[i]] 
      nWidthLeftMax <- stats.col[[ min(lstCur[[ 3 ]]) ]]$widths.left.max 
      nWidthRightMax <- stats.col[[ max(lstCur[[ 3 ]]) ]]$widths.right.max 
      nHeightTopMax <- stats.row[[ min(lstCur[[ 2 ]]) ]]$heights.top.max 
      nHeightBottomMax <- stats.row[[ max(lstCur[[ 2 ]]) ]]$heights.bottom.max 
      pushViewport(viewport(layout.pos.row=lstCur[[2]], 
         layout.pos.col=lstCur[[3]], just=c("left","top"))) 
      pushViewport(viewport(
         x=unit(0, "npc") + nWidthLeftMax - widths.left[[i]], 
         y=unit(0, "npc") + nHeightBottomMax - heights.bottom[[i]], 
         width=unit(1, "npc") - nWidthLeftMax + widths.left[[i]] - 
               nWidthRightMax + widths.right[[i]], 
         height=unit(1, "npc") - nHeightBottomMax + heights.bottom[[i]] - 
               nHeightTopMax + heights.top[[i]], 
         just=c("left","bottom"))) 
      grid.draw(dots[[i]]) 
      upViewport(2) 
     } 

    } 
    #-----\align function----- 

    # edge margins 
    margin1 = 0.1 
    margin2 = -0.9 
    margin3 = 0.5 

    plot <- ggplot(data = dsmall) + geom_point(mapping = aes(x = x, y = depth, colour = cut)) + opts(legend.position="none") 
    plot <- plot + opts(axis.text.x = theme_blank(), axis.ticks = theme_blank(), axis.title.x = theme_blank()) 
    plot1 <- plot + opts(plot.margin=unit.c(unit(margin1, "lines"), unit(margin1,"lines"), unit(margin2,"lines"), unit(margin3,"lines"))) 

    plot <- ggplot(data = dsmall) + geom_point(mapping = aes(x = y, y = depth, colour = cut)) + opts(legend.position="none") 
    plot <- plot + opts(axis.text.x = theme_blank(), axis.ticks = theme_blank(), axis.title.x = theme_blank(), axis.text.y = theme_blank(), axis.title.y = theme_blank()) 
    plot2 <- plot + opts(plot.margin=unit.c(unit(margin1, "lines"), unit(margin1,"lines"), unit(margin2,"lines"), unit(margin2,"lines"))) 

    plot <- ggplot(data = dsmall) + geom_point(mapping = aes(x = z, y = depth, colour = cut)) + opts(legend.position="none") 
    plot <- plot + opts(axis.text.x = theme_blank(), axis.ticks = theme_blank(), axis.title.x = theme_blank(), axis.text.y = theme_blank(), axis.title.y = theme_blank()) 
    plot3 <- plot + opts(plot.margin=unit.c(unit(margin1, "lines"), unit(margin1,"lines"), unit(margin2,"lines"), unit(margin2,"lines"))) 

    plot <- ggplot(data = dsmall) + geom_point(mapping = aes(x = x, y = price, colour = cut)) + opts(legend.position="none") 
    plot <- plot + opts(axis.text.x = theme_blank(), axis.ticks = theme_blank(), axis.title.x = theme_blank()) 
    plot4 <- plot + opts(plot.margin=unit.c(unit(margin1, "lines"), unit(margin1,"lines"), unit(margin2,"lines"), unit(margin3,"lines"))) 

    plot <- ggplot(data = dsmall) + geom_point(mapping = aes(x = y, y = price, colour = cut)) + opts(legend.position="none") 
    plot <- plot + opts(axis.text.x = theme_blank(), axis.ticks = theme_blank(), axis.title.x = theme_blank(), axis.text.y = theme_blank(), axis.title.y = theme_blank()) 
    plot5 <- plot + opts(plot.margin=unit.c(unit(margin1, "lines"), unit(margin1,"lines"), unit(margin2,"lines"), unit(margin2,"lines"))) 

    plot <- ggplot(data = dsmall) + geom_point(mapping = aes(x = z, y = price, colour = cut)) + opts(legend.position="none") 
    plot <- plot + opts(axis.text.x = theme_blank(), axis.ticks = theme_blank(), axis.title.x = theme_blank(), axis.text.y = theme_blank(), axis.title.y = theme_blank()) 
    plot6 <- plot + opts(plot.margin=unit.c(unit(margin1, "lines"), unit(margin1,"lines"), unit(margin2,"lines"), unit(margin2,"lines"))) 

    plot <- ggplot(data = dsmall) + geom_point(mapping = aes(x = x, y = carat, colour = cut)) + opts(legend.position="none") 
    plot <- plot + opts(axis.ticks = theme_blank()) 
    plot7 <- plot + opts(plot.margin=unit.c(unit(margin1, "lines"), unit(margin1,"lines"), unit(margin3,"lines"), unit(margin3,"lines"))) 

    plot <- ggplot(data = dsmall) + geom_point(mapping = aes(x = y, y = carat, colour = cut)) + opts(legend.position="none") 
    plot <- plot + opts(axis.ticks = theme_blank(), axis.text.y = theme_blank(), axis.title.y = theme_blank()) 
    plot8 <- plot + opts(plot.margin=unit.c(unit(margin1, "lines"), unit(margin1,"lines"), unit(margin3,"lines"), unit(margin2,"lines"))) 

    plot <- ggplot(data = dsmall) + geom_point(mapping = aes(x = z, y = carat, colour = cut)) + opts(legend.position="none") 
    plot <- plot + opts(axis.ticks = theme_blank(), axis.text.y = theme_blank(), axis.title.y = theme_blank()) 
    plot9 <- plot + opts(plot.margin=unit.c(unit(margin1, "lines"), unit(margin1,"lines"), unit(margin3,"lines"), unit(margin2,"lines"))) 

    grid_layout <- grid.layout(nrow=3, ncol=3, widths=c(2,2,2), heights=c(2,2,2)) 
    grid.newpage() 
    pushViewport(viewport(layout=grid_layout)) 
    align.plots(grid_layout, 
      list(plot1, 1, 1), 
      list(plot2, 1, 2), 
      list(plot3, 1, 3), 
      list(plot4, 2, 1), 
      list(plot5, 2, 2), 
      list(plot6, 2, 3), 
      list(plot7, 3, 1), 
      list(plot8, 3, 2), 
      list(plot9, 3, 3)) 
} 

原始图像：

当前进度图像：

Answer 1

有一个功能align.plots在ggExtra包。 从GGPLOT2邮件列表查看这个线程： Aligning time series plots

aligned plots http://img138.imageshack.us/img138/6786/aligngrid.png

Answer 2

下面是与GGPLOT2一个简单的方法和熔体：

diamonds_sample <- diamonds[sample(nrow(diamonds), 100), ] 

melted_diamonds <- melt(diamonds_sample, measure.vars=c('x','y','z'), 
    variable_name='letter') 
# rename the melt results to avoid confusion with next melt 
# (bug in melt means you can't rename the value during melt) 
names(melted_diamonds)[9] <- 'letter.value' 

melted_diamonds <- melt(melted_diamonds, 
    measure.vars=c('depth', 'price', 'carat'), variable_name='variables') 

ggplot(melted_diamonds, aes(x=letter.value, y=value, colour=cut)) + 
    geom_point() + facet_grid(variables~letter, scale='free') 

结果：

可以拧使用所有的ggplot2选项来让选项卡出现在其中适当的地方，并删除图例。

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注：类似这样的地块，要比较大量的变量成对的，检查出the GGally package。这里有一些文档：http://rgm2.lab.nig.ac.jp/RGM2/func.php?rd_id=GGally:ggpairs。