如何在每个方面添加两个回归线方程和R2？-howtoaddtworegressionlineequationsandR2switheachfacet?

3  

1) ggplot2 Try converting df to long form first (see ## line). We create an annotation data frame ann which defines the text and where it goes for use with geom_text. Note that since the plot is faceted by trt, geom_text will use the trt column in each row of ann to associate that row with the appropriate facet.

1)ggplot2首先尝试将df转换为长格式(参见## line)。我们创建了一个注释数据框ann,它定义了文本以及它与geom_text一起使用的位置。请注意,由于绘图是由trt分割的,因此geom_text将使用ann的每一行中的trt列将该行与相应的facet相关联。

library(ggplot2)
library(reshape2)

long <- melt(df, measure.vars = 2:3) ##

trts <- unique(long$trt)
ann <- data.frame(x = c(0, 100), 
                  y = c(250, 100), 
                  label = c(lm_eqn(lm(y1 ~ x, df, subset = trt == trts[1])), 
                            lm_eqn(lm(y2 ~ x, df, subset = trt == trts[1])),
                            lm_eqn(lm(y1 ~ x, df, subset = trt == trts[2])), 
                            lm_eqn(lm(y2 ~ x, df, subset = trt == trts[2]))),
                  trt = rep(trts, each = 2),
                  variable = c("y1", "y2"))

ggplot(long, aes(x, value)) +
       geom_point() + 
       geom_smooth(aes(col = variable), method = "lm", se = FALSE,
              full_range = TRUE) + 
       geom_text(aes(x, y, label = label, col = variable), data = ann, 
             parse = TRUE, hjust = -0.1, size = 2) +
       facet_wrap(~ trt)

ann could equivalently be defined like this:

ann可以等效地定义如下:

f <- function(v) lm_eqn(lm(value ~ x, long, subset = variable==v[[1]] & trt==v[[2]]))
Grid <- expand.grid(variable = c("y1", "y2"), trt = trts)
ann <- data.frame(x = c(0, 100), y = c(250, 100), label = apply(Grid, 1, f), Grid)

(continued after image)

(图片后继续)

2) lattice Its possibly easier in this case with lattice:

2)格子在这种情况下格子可能更容易:

library(lattice)

xyplot(y1 + y2 ~ x | factor(trt), df, 
       key = simpleKey(text = c("y1", "y2"), col = c("blue", "red")),
       panel = panel.superpose, 
       panel.groups = function(x, y, group.value, ...) {
          if (group.value == "y1") {
              X <- 150; Y <- 300; col <- "blue"
          } else {
              X <- 250; Y <- 100; col <- "red"
          }
          panel.points(x, y, col = col)
          panel.abline(lm(y ~ x), col = col)
          panel.text(X, Y, parse(text = lm_eqn(lm(y ~ x))), col = col, cex = 0.7)
       }
)

(continued after image)

(图片后继续)

3) latticeExtra or we could make the lattice plot more ggplot2-like:

3)latticeExtra或者我们可以使格子图更像ggplot2:

library(latticeExtra)

xyplot(y1 + y2 ~ x | factor(trt), df, par.settings = ggplot2like(),
       key = simpleKey(text = c("y1", "y2"), col = c("blue", "red")),
       panel = panel.superpose, 
       panel.groups = function(x, y, group.value, ...) {
          if (group.value == "y1") {
              X <- 150; Y <- 300; col <- "blue"
          } else {
              X <- 250; Y <- 100; col <- "red"
          }
          panel.points(x, y, col = col)
          panel.grid()
          panel.abline(lm(y ~ x), col = col)
          panel.text(X, Y, parse(text = lm_eqn(lm(y ~ x))), col = col, cex = 0.7)
       }
)

(continued after image)

(图片后继续)

Note: We used this as df:

注意:我们将其用作df:

df <-
structure(list(x = c(22.48349, 93.52976, 163.00984, 205.62072, 
265.46812, 23.79859, 99.97307, 189.91814, 268.1006, 325.65609, 
357.59726), y1 = c(34.2, 98.5, 164.2, 216.7, 271.8, 35.8, 119.4, 
200.8, 279.5, 325.7, 353.6), y2 = c(31, 96, 169.8, 210, 258.5, 
24.2, 90.6, 189.3, 264.6, 325.4, 353.8), trt = c(6030L, 6030L, 
6030L, 6030L, 6030L, 6060L, 6060L, 6060L, 6060L, 6060L, 6060L
)), .Names = c("x", "y1", "y2", "trt"), class = "data.frame", row.names = c(NA, 
-11L))

Update

• Added colored text.

添加了彩色文字。

• Added alternate ann.

添加了备用安。

• Added lattice solution.

添加晶格解决方案

• Added latticeExtra variation to the lattice solution.

为晶格解决方案添加了latticeExtra变体。