ggplot fig

docs/search.json

@@ -930,7 +930,7 @@
     "href": "chapters/means-and-contrasts.html#graphical-display-of-emmeans",
     "title": "12  Marginal Means & Contrasts",
     "section": "12.7 Graphical display of emmeans",
-    "text": "12.7 Graphical display of emmeans\nThe results of emmeans() object can be plotted in two different ways.\nFirstly, we can use base plot() function in R.\n\nplot(m1)\n\n\n\n\n\n\n\nplot(m4)\n\n\n\n\n\n\n\n\nOr we can use ‘ggplot2’ library.\n\nggplot(cld3) +\n  aes(x = V, y = emmean, color = N) +\n  geom_point(position = position_dodge(width = 0.9)) +\n  geom_errorbar(mapping = aes(ymin = lower.CL, ymax = upper.CL), \n                              position = position_dodge(width = 0.9),\n                width = 0.1) +\n  geom_text(mapping = aes(label = .group, y = upper.CL * 1.05), \n            position = position_dodge(width = 0.9), \n            show.legend = F)",
+    "text": "12.7 Graphical display of emmeans\nThe results of emmeans() object can be plotted in two different ways.\nFirstly, we can use base plot() function in R.\n\nplot(m1)\n\n\n\n\n\n\n\nplot(m4)\n\n\n\n\n\n\n\n\nOr we can use ‘ggplot2’ library. We can plot cld3 object in ggplot, with Variety on x-axis and estimated means of yield on y-axis. Different N treatments are presented in groups of different colors.\n\nggplot(cld3) +\n  aes(x = V, y = emmean, color = N) +\n  geom_point(position = position_dodge(width = 0.9)) +\n  geom_errorbar(mapping = aes(ymin = lower.CL, ymax = upper.CL), \n                              position = position_dodge(width = 1),\n                width = 0.1) +\n  geom_text(mapping = aes(label = .group, y = upper.CL * 1.05), \n            position = position_dodge(width = 0.8), \n            show.legend = F)+\n  theme_bw()+\n  theme(axis.text= element_text(color = \"black\",\n                                size =12))\n\n\n\n\n\n\n\n\nRecall: groups that do not differ significantly from each other share the same letter.",
     "crumbs": [
       "<span class='chapter-number'>12</span>  <span class='chapter-title'>Marginal Means and Contrasts</span>"
     ]