I am having a strange issue where saving a ggplot figure that I make does not maintain the colors I set using scale_color_manual. I have made a reproducible example (with some editing) using the mtcars dataset.
plot1 <- ggplot(data = mtcars %>% rownames_to_column("type") %>%
dplyr::filter(between(cyl, 6, 8)) %>%
dplyr::filter(between(gear, 4, 5))
) +
aes(y = wt, x = type) +
geom_boxplot(outlier.size = 0) +
geom_jitter(aes(color = factor(cyl), shape = factor(gear)), size = 10, position=position_jitter(width=.25, height=0)) +
#geom_smooth(method = lm, se = TRUE) +
scale_shape_manual(values=c("",""), name = "Gear", labels = c("4", "5")) + # I need 9 values (I for each ID)
scale_color_manual(values=c('red4', 'springgreen4'), name = "cyl", labels = c("4 cylinder", "5 cylinder")) +
# # geom_jitter(size=8, aes(shape=Sex, color=Sex), position = position_dodge(.4)) +
theme(legend.position = "top",
plot.title = element_text(hjust = 0.5) # Center the text title)
)
ggsave("images/review/mean_AllAgents_test.png",plot1, width=11, height=6.5, dpi=400)
The figure in the RStudio "Plots" pane has cyl colored in red and green shown below
Whereas the file saved using ggsave does not show these colors.
I have tried using the fix from this SO post. I also have tried using cowplot::save_plot. The colors do remain if I manually Export the figure from the "Plots" pane.
Does anyone know why this is occurring?
R version 4.0.4 (2021-02-15)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19043)
Matrix products: default
locale:
[1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252 LC_MONETARY=English_Canada.1252 LC_NUMERIC=C
[5] LC_TIME=English_Canada.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] apastats_0.3 ggstatsplot_0.8.0 rstatix_0.7.0 hrbrthemes_0.8.0 gtsummary_1.4.2.9011 car_3.0-11
[7] carData_3.0-4 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.6 purrr_0.3.4 readr_2.0.0
[13] tidyr_1.1.3 tibble_3.1.2 tidyverse_1.3.1 Rmisc_1.5 plyr_1.8.6 lattice_0.20-41
[19] ggplot2_3.3.5 rio_0.5.27 pacman_0.5.1
EDIT
I was asked to provide additional detail in my Preferences
