I got help here yesterday to create a facet grid of multiple columns. This yielded a large grid containing 8*5 plots. The code creates a combination of plot for various Outcomes * Responses. For example (Outcome1 * Response1, Outcome1 * Response2, Outcome3 * Response1, Outcome2 * Response1 and so on).
I have pasted the code below.
plot1 <- ancestralmeansindex %>%
gather(var1, value1, bicepind:wcind) %>%
gather(var2, value2, mmois:mpfat) %>%
ggplot(aes(x = value1, y = value2)) + 
geom_point(color='blue') +
geom_smooth(method = "lm", se = FALSE) +
facet_grid(var2 ~ var1, scales = "free", switch = "both",
         labeller = as_labeller(c(mmois = "Water (gms)",
                                  mkcal = "Caloric Intake",
                                  mprot = "Protein (gms)",
                                  mcarb = "Carb (gms)",
                                  mtfat = "Total Fat (gms)",
                                  msfat = "Saturated Fat (gms)",
                                  mmfat = "Mono S.Fat (gms)",
                                  mpfat = "Poly US.Fat (gms)",
                                  bicepind = "Bicep",
                                  tricepind = "Tricep",
                                  subind = "Subscapular",
                                  supind = "Suprailiac",
                                  weightind = "Weight",
                                  wcind = "Waist Circum"))) +
  labs(title = "Regression Plot Matrix of Mean Dietary Values with    Index Change 1", x = NULL, y = NULL) +
theme_bw() +
theme(strip.placement = "outside",
    strip.background = element_blank())
ggsave("Regression Plot 1.pdf", width = 210, height = 297, units = "mm", plot1) 
This gives a very neat grid of all the possible combinations mentioned in the code. However, the graph prints the plots in alphabetical order (as it is reflected in the labeller/data). I would like to change this order for both var2 and var1.
I read in the help that this problem can be solved by assigning factor levels and choosing a given order. For example, this solution Fixing the order of facets in ggplot
How do I assign factor levels to variables that have been converted to long form by dplyr? Can this be done? Is there another solution?
Edit1 I tried the solution below, but I am running into an error. Reproducible example below.
set.seed(1)
dat <- data.frame(
  Outcome1 = sample(1:10),
  Outcome2 = sample(11:20),
  Outcome3 = sample(21:30),
  Response1 = sample(31:40),
  Response2 = sample(41:50),
  Response3 = sample(51:60)
)
dat %>%
  gather(var1, value1, Outcome1:Outcome3) %>%
  mutate(var1, recode("Outcome1" = "Bicep",
                      "Outcome2" = "Tricep",
                      "Outcome3" = "Subscapular")) %>%
  factor(var1, levels = c("Bicep",
                          "Tricep",
                          "Subscapular")) 
gather(var2, value2, Response1:Response3) %>% 
  mutate(var2, recode("Response1" = "Water (gms)", 
                      "Response2" = "Caloric Intake",
                      "Response3" = "Protein (gms)")) %>%
  factor(var2, levels = c("Water (cms)", 
                          "Caloric Intake",
                          "Protein (gms)")) %>%
  ggplot(aes(x = value1, y = value2)) + 
  geom_point(color='blue') +
  geom_smooth(method = "lm", se = FALSE) +
  facet_grid(var2 ~ var1, scales = "free", switch = "both",
             labeller = as_labeller(c(mmois = "Water (gms)",
                                      mkcal = "Caloric Intake",
                                      mprot = "Protein (gms)",
                                      bicepind = "Bicep",
                                      tricepind = "Tricep",
                                      subind = "Subscapular"))) +
  labs(title = "Regression Plot", x = NULL, y = NULL) +
  theme_bw() +
  theme(strip.placement = "outside",
        strip.background = element_blank())
Error in factor(., var1, levels = c("Bicep", "Tricep", "Subscapular",  : 
  object 'var1' not found
Error in gather(var2, value2, Response1:Response3) : 
  object 'var2' not found
 
    