Created
November 24, 2017 14:27
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| library(ggplot2) | |
| library(ggsci) # for cool palettes | |
| # read data | |
| my_data <- read.csv("data/chickengrowthdiet.csv") | |
| str(my_data) | |
| # Diet should not be numeric but factor (or categorical) | |
| my_data$Diet <- factor(my_data$Diet) | |
| # ------------------------------------- | |
| # make plot 1 | |
| # ------------------------------------- | |
| our_plot_1 <- | |
| ggplot(data = my_data, | |
| aes(x = Time, | |
| y = weight, | |
| fill = Diet, | |
| color = Diet)) + | |
| # add the points | |
| geom_point(shape = 1, cex = 1, alpha = 0.7, position = "jitter") + | |
| # add CI ribbon and the fit lines | |
| geom_smooth(method='loess', size = 1) + # or method='loess' | |
| # set axis labels | |
| labs(x = "Days", | |
| y = "Weight (g)") + | |
| theme_bw(base_size = 10) # base font size | |
| # theme(panel.grid = element_blank()) # eliminate grids | |
| # display the plot | |
| our_plot_1 | |
| # save the plot as PDF | |
| ggsave(filename = "chicks_loess_default_col.pdf", | |
| plot = our_plot_1, | |
| width = 15, | |
| height = 10, | |
| units = "cm", | |
| scale = 1) | |
| # ------------------------------------- | |
| # plot 2 | |
| # ------------------------------------- | |
| our_plot_2 <- | |
| ggplot(data = my_data, | |
| aes(x = Time, | |
| y = weight, | |
| color = Diet)) + | |
| # add the points | |
| geom_point(shape = 1, cex = 1, alpha = 0.7, position = "jitter") + | |
| # add CI ribbon and the fit lines | |
| geom_smooth(method='loess', size = 1, alpha = 0.2) + # or method='loess' | |
| scale_color_npg() + | |
| # set axis labels | |
| labs(x = "Days", | |
| y = "Weight (g)") + | |
| theme_bw(base_size = 10) # base font size | |
| # theme(panel.grid = element_blank()) # eliminate grids | |
| # display the plot | |
| our_plot_2 | |
| # save the plot as PDF | |
| ggsave(filename = "chicks_loess_npg.pdf", | |
| plot = our_plot_2, | |
| width = 15, | |
| height = 10, | |
| units = "cm", | |
| scale = 1) |
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