在混合模型图中将两个图合并为一个图

debugcn 发表于 Dev

诺鲁齐安

在下面的图表中，d_math和d_hyp是每个{0,1}变量。鉴于这一事实，在下面的图表中，我想知道是否可以将两个图表合并为一个，就像下面的所需图表一样？

ps。我对任何R包都开放。

multivariate <- read.csv('https://raw.githubusercontent.com/hkil/m/master/bv.csv')

library(nlme)
library(effects) # for plot

m2 <- lme(var ~ 0 + d_math + d_hyp + d_math:I(grade-2) + d_hyp:I(grade-2),
          random = ~ 0 + d_math + d_hyp + d_math:I(grade-2) + d_hyp:I(grade-2) | id, data = multivariate,
          na.action = na.omit, weights = varIdent(c(hyp=.3), form = ~1|grp),
          control = lmeControl(maxIter = 200, msMaxIter = 200, niterEM = 50,
                               msMaxEval = 400))

plot(allEffects(m2), multiline = TRUE, x.var="grade")

期望的：

阿克伦

我们可以tidyverse用来创建一个单图。环在所述list的allEffects带有输出imap，转换到tibble，select所需要的列，行绑定列表中的元素，以单一的数据集（_dfr），unite两列到一个单一的，和使用ggplot用于绘图

library(dplyr)
library(tidyr)
library(purrr)
library(ggplot2)
imap_dfr(allEffects(m2), ~ as_tibble(.x) %>% 
     mutate(dname = grep("d_", names(.), value = TRUE)) %>%
     select(dname, dvalue = starts_with('d_'), grade, fit) %>%
     mutate(grp = .y)) %>%
   unite(dname, dname, dvalue, sep=" = ") %>% 
   ggplot(aes(x = grade, y = fit, color = dname)) +
        geom_line() +
        theme_bw() #+
        # facet_wrap(~ grp)

-输出

如果我们希望标签位于行尾，请使用 directlabels

library(directlabels)
imap_dfr(allEffects(m2), ~ as_tibble(.x) %>% 
     mutate(dname = grep("d_", names(.), value = TRUE)) %>%
     select(dname, dvalue = starts_with('d_'), grade, fit) %>%
     mutate(grp = .y)) %>%
   unite(dname, dname, dvalue, sep=" = ") %>% 
   ggplot(aes(x = grade, y = fit, group = dname, color = dname)) +
        geom_line() +
        theme_bw() +
        scale_colour_discrete(guide = 'none') +
        geom_dl(aes(label = dname), method="last.qp", cex = 0.8)

此外，可以将每个“ dvalue”作为 facet

imap_dfr(allEffects(m2), ~ as_tibble(.x) %>% 
     mutate(dname = grep("d_", names(.), value = TRUE)) %>%
     select(dname, dvalue = starts_with('d_'), grade, fit) %>%
     mutate(grp = .y)) %>%
   unite(dname, dname, dvalue, sep=" = ", remove = FALSE) %>% 
   ggplot(aes(x = grade, y = fit, group = dname, color = dname)) +
        geom_line() +
        theme_bw() +
        scale_colour_discrete(guide = 'none') +
        geom_dl(aes(label = dname), method="last.qp", cex = 0.8) + 
        facet_wrap(~ dvalue)

或者，如果我们只需要特定级别，那么 filter

imap_dfr(allEffects(m2), ~ as_tibble(.x) %>% 
     mutate(dname = grep("d_", names(.), value = TRUE)) %>%
     select(dname, dvalue = starts_with('d_'), grade, fit) %>%
     mutate(grp = .y)) %>%
   unite(dname, dname, dvalue, sep=" = ") %>%
   filter(dname  %in% c("d_hyp = 1", "d_math = 1")) %>% 
   ggplot(., aes(x = grade, y = fit, colour = dname, group = dname)) + 
     geom_line() + 
     scale_colour_discrete(guide = 'none') +  
     geom_dl(aes(label = dname), method="last.qp", cex = 0.6) + 
     theme_bw()