在另一个角落里绘制图形(Drawing a graph in the corner of anoth

我应该如何呈现的R中的另一个情节角落积小？

Answer 1:

我做这个使用是这样的：

# Making some fake data
plot1 <- data.frame(x=sample(x=1:10,10,replace=FALSE),
                    y=sample(x=1:10,10,replace=FALSE))
plot2 <- data.frame(x=sample(x=1:10,10,replace=FALSE),
                    y=sample(x=1:10,10,replace=FALSE))
plot3 <- data.frame(x=sample(x=1:10,10,replace=FALSE),
                    y=sample(x=1:10,10,replace=FALSE))

layout(matrix(c(2,1,1,3,1,1),2,3,byrow=TRUE))
plot(plot1$x,plot1$y)
plot(plot2$x,plot2$y)
plot(plot3$x,plot3$y)

该matrix和layout命令可以让你安排多个图形集成到一个情节。基本上，你把每个图的数量（在顺序你要称呼它）到每个单元格，然后无论安排最终成为你的情节是如何布局。例如，在上述情况下， matrix(c(2,1,1,3,1,1),byrow=TRUE)的结果中，看起来像这样的矩阵：

     [,1] [,2] [,3]
[1,]    2    1    1
[2,]    3    1    1

所以，你可以像这样结束了：

编辑补充：

好了，所以，如果你要集成在角落里的情节，你可以做，使用相同的layout通过简单地改变矩阵命令。举例来说，这是不同的代码：

layout(matrix(c(1,1,2,1,1,1),2,3,byrow=TRUE))
plot1 <- data.frame(x=1:10,y=c(9,10,8,7,3,4,1,2,5,6))
plot2 <- data.frame(x=1:10,y=c(6,7,5,1,2,8,3,10,9,4))
plot(plot1$x,plot1$y,type="o",col="red")
plot(plot2$x,plot2$y,type="o",xlab="",ylab="",main="",sub="",col="blue")

并将所得矩阵为：

     [,1] [,2] [,3]
[1,]    1    1    2
[2,]    1    1    1

所散发出来的情节是这样的：

Answer 2:

我知道这个问题已经关闭，但我要把这个例子起来留给后人。

一旦你的基本下跌，你可以做定制的可视化这样很容易与基地“网格”包。这里是我一起使用与数据绘制的演示一些自定义函数一个简单的例子。

自定义功能

# Function to initialize a plotting area.
init_Plot <- function(
    .df,
    .x_Loc, 
    .y_Loc, 
    .justify, 
    .width, 
    .height
    ){

    # Initialize plotting area to fit data.
    # We have to turn off clipping to make it
    # easy to plot the labels around the plot.
    pushViewport(viewport(xscale=c(min(.df[,1]), max(.df[,1])), yscale=c(min(0,min(.df[,-1])), max(.df[,-1])), x=.x_Loc, y=.y_Loc, width=.width, height=.height, just=.justify, clip="off", default.units="npc"))

    # Color behind text.
    grid.rect(x=0, y=0, width=unit(axis_CEX, "lines"), height=1, default.units="npc", just=c("right", "bottom"), gp=gpar(fill=space_Background, col=space_Background))
    grid.rect(x=0, y=1, width=1, height=unit(title_CEX, "lines"), default.units="npc", just=c("left", "bottom"), gp=gpar(fill=space_Background, col=space_Background))

    # Color in the space.
    grid.rect(gp=gpar(fill=chart_Fill, col=chart_Col))
}

# Function to finalize and label a plotting area.
finalize_Plot <- function(
    .df, 
    .plot_Title
    ){

    # Label plot using the internal reference
    # system, instead of the parent window, so
    # we always have perfect placement.
    grid.text(.plot_Title, x=0.5, y=1.05, just=c("center","bottom"), rot=0, default.units="npc", gp=gpar(cex=title_CEX))
    grid.text(paste(names(.df)[-1], collapse=" & "), x=-0.05, y=0.5, just=c("center","bottom"), rot=90, default.units="npc", gp=gpar(cex=axis_CEX))
    grid.text(names(.df)[1], x=0.5, y=-0.05, just=c("center","top"), rot=0, default.units="npc", gp=gpar(cex=axis_CEX))

    # Finalize plotting area.
    popViewport()
}

# Function to plot a filled line chart of
# the data in a data frame.  The first column
# of the data frame is assumed to be the
# plotting index, with each column being a
# set of y-data to plot.  All data is assumed
# to be numeric.
plot_Line_Chart <- function(
    .df,
    .x_Loc,
    .y_Loc,
    .justify,
    .width,
    .height,
    .colors,
    .plot_Title
    ){

    # Initialize plot.
    init_Plot(.df, .x_Loc, .y_Loc, .justify, .width, .height)

    # Calculate what value to use as the
    # return for the polygons.
    y_Axis_Min <- min(0, min(.df[,-1]))

    # Plot each set of data as a polygon,
    # so we can fill it in with color to
    # make it easier to read.
    for (i in 2:ncol(.df)){
        grid.polygon(x=c(min(.df[,1]),.df[,1], max(.df[,1])), y=c(y_Axis_Min,.df[,i], y_Axis_Min), default.units="native", gp=gpar(fill=.colors[i-1], col=.colors[i-1], alpha=1/ncol(.df)))
    }

    # Draw plot axes.
    grid.lines(x=0, y=c(0,1), default.units="npc")
    grid.lines(x=c(0,1), y=0, default.units="npc")

    # Finalize plot.
    finalize_Plot(.df, .plot_Title)

}

演示代码

grid.newpage()

# Specify main chart options.
chart_Fill = "lemonchiffon"
chart_Col = "snow3"
space_Background = "white"
title_CEX = 1.4
axis_CEX = 1

plot_Line_Chart(data.frame(time=1:1860, EuStockMarkets)[1:5], .x_Loc=1, .y_Loc=0, .just=c("right","bottom"), .width=0.9, .height=0.9, c("dodgerblue", "deeppink", "green", "red"), "EU Stocks")

# Specify sub-chart options.
chart_Fill = "lemonchiffon"
chart_Col = "snow3"
space_Background = "lemonchiffon"
title_CEX = 0.8
axis_CEX = 0.7

for (i in 1:4){
    plot_Line_Chart(data.frame(time=1:1860, EuStockMarkets)[c(1,i + 1)], .x_Loc=0.15*i, .y_Loc=0.8, .just=c("left","top"), .width=0.1, .height=0.1, c("dodgerblue", "deeppink", "green", "red")[i], "EU Stocks")
}

Answer 3:

您也可以使用par(fig=..., new=TRUE)

x <- rnorm(100)
hist( x, col = "light blue" )
par( fig = c(.7, .95, .7, .95), mar=.1+c(0,0,0,0), new = TRUE )
qqnorm(x, axes=FALSE, xlab="", ylab="", main="")
qqline(x, col="blue", lwd=2)
box()