循环内的自定义R Markdown图大小 [英] custom R Markdown plot size within loop

问题描述

我正在R Markdown/knittr文档中创建带状图.我希望图的垂直大小与带状图中的行数成正比.

I'm creating strip plots within a R Markdown/knittr document. I would the like vertical size of the plots to be proportional to the number of rows in the strip plot.

最佳解决方案还将允许表格和图表的交织.请参见在循环内在R Markdown中交错表和图

The best solution would also allow interleaving of tables and plots. See Interleaving tables and plots in R Markdown, within loop

在此示例中，"3个化油器"汽车的MPG图与"2个化油器"汽车的图高度相同，即使2个化油器汽车有三种不同的齿轮配置，而对于3个化油器汽车则只有一个. 3-化油器车.

In this example, the plot for MPG for cars with "3 Carburetors" is the same height as the plot for cars with "2 Carburetors", even though there are three different gear configurations for 2-Carburetor cars and only one for 3-Carburetor cars.

```{r cars, echo=FALSE}
library(ggplot2)

carb.possibilities <- sort(unique(as.character(mtcars$carb)))

filtereds <- lapply(carb.possibilities, function(carb.ct) {
  return(mtcars[ mtcars$carb == carb.ct , ])
})

carb.possibilities <- paste(carb.possibilities, ' Carburetors', sep = '')

names(filtereds) <- carb.possibilities

lapply(carb.possibilities, function(one.possibility) {

  current.possibility <- filtereds[[one.possibility]]

    ggplot(current.possibility, aes(factor(gear), mpg)) + 
    coord_flip() + 
    labs(x = "Gears", title = one.possibility) +
    geom_point(position=position_jitter( width = 0.1, height = 0.1) ) 
})
```

推荐答案

以下是使用grid.arrange的解决方案

Here is a solution using grid.arrange

```{r cars, echo=FALSE, fig.height=30}
library(ggplot2); library(gridExtra)

carb.possibilities <- sort(unique(as.character(mtcars$carb)))

filtereds <- lapply(carb.possibilities, function(carb.ct) {
  return(mtcars[ mtcars$carb == carb.ct , ])
})

carb.possibilities <- paste(carb.possibilities, ' Carburetors', sep = '')

names(filtereds) <- carb.possibilities
p <- list()
k <- 1
heights <- c()
for(one.possibility in carb.possibilities){
  current.possibility <- filtereds[[one.possibility]]
    heights[k] <- length(unique(current.possibility$gear))
    p[[k]] <- ggplot(current.possibility, aes(factor(gear), mpg)) + 
    coord_flip() + 
    labs(x = "Gears", title = one.possibility) +
    geom_point(position=position_jitter( width = 0.1, height = 0.1)) 
    k <- k + 1
}

do.call(grid.arrange, c(p, list(ncol = 1, heights= heights)))

```

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