80 lines
3.3 KiB
R
80 lines
3.3 KiB
R
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library(tidyverse)
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readme_groupings <- read.csv('text_analysis/0203_readme_merged_manifest.csv')
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contrib_groupings <- read.csv('text_analysis/0203_contributing_merged_manifest.csv')
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contrib_groupings$filename <- contrib_groupings$fvf_filepath
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readme_groupings$filename <- readme_groupings$fvf_filepath
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readme_textstat <- read.csv('text_analysis/020325_README_readability.csv')
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contributing_textstat <- read.csv('text_analysis/020125_CONTRIBUTING_readability.csv')
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doctypeColors <-
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setNames( c('#5da2d8', '#c7756a')
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, c("CONTRIBUTING", "README"))
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readme_textstat$type = "README"
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contributing_textstat$type = "CONTRIBUTING"
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all_df = rbind(readme_textstat, contributing_textstat)
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length_plot_all <- ggplot(all_df, aes(x=word_count, group=as.factor(type))) +
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geom_density(aes(fill = as.factor(type)), color = NA, alpha=0.6, position="identity")+
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scale_fill_manual(values = doctypeColors) +
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xlim(-10, 500) +
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labs(
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x = "Word Count",
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y = "Density Across Documents",
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fill="Document Type"
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) +
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theme_bw() +
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theme(legend.position = "top")
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length_plot_all
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#ggsave(filename = "plots/cr-0203-wc-density.png", plot = length_plot_all, width = 9, height = 9, dpi = 800)
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contributing_df <- inner_join(contributing_textstat, contrib_groupings, by="filename")
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readme_df <- inner_join(readme_textstat, readme_groupings, by="filename")
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subdirColors <-
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setNames( c('#31449c', '#4a7c85', '#c5db68')
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, c(0,1,2) )
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contributing_reading_time_plot <- ggplot(contributing_df, aes(x=reading_time, group=as.factor(ranef_grouping))) +
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scale_fill_manual(values = subdirColors, labels=c('CI < 0', '0 in CI', '0 < CI')) +
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geom_density(aes(fill=as.factor(ranef_grouping)), position="fill") +
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xlim(-5, 90) +
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labs(x= NULL, y= NULL, fill="RE Grouping")+
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theme_bw() +
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theme(legend.position = "inside",
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legend.position.inside = c(.90, .90),
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legend.justification = c("right", "top"),
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legend.direction = "horizontal",
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legend.margin = margin(6, 6, 6, 6))
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contributing_reading_time_plot
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contributing_reading_ease <- ggplot(contributing_df, aes(x=flesch_reading_ease, group=as.factor(ranef_grouping))) +
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geom_density(aes(fill=as.factor(ranef_grouping)), position="fill") +
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scale_fill_manual(values = subdirColors, labels=c('CI < 0', '0 in CI', '0 < CI')) +
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labs(x= NULL, y="CONTRIBUTING Density", fill="RE Grouping")+
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xlim(-5, 90) +
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theme_bw() +
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guides(fill="none", color="none")
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#contributing_reading_ease
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readme_reading_time_plot <- ggplot(readme_df, aes(x=reading_time, group=as.factor(ranef_grouping))) +
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geom_density(aes(fill=as.factor(ranef_grouping)), position="fill") +
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scale_fill_manual(values = subdirColors) +
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xlim(-5, 90) +
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labs(x= "Reading Time (s)", y= NULL)+
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guides(fill="none", color="none")+
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theme_bw()
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#readme_reading_time_plot
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readme_reading_ease <- ggplot(readme_df, aes(x=flesch_reading_ease, group=as.factor(ranef_grouping))) +
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geom_density(aes(fill=as.factor(ranef_grouping)), position="fill") +
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scale_fill_manual(values = subdirColors) +
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xlim(-5, 90) +
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labs(x= "Flesch Reading Ease", y= "README Density")+
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guides(fill="none", color="none")+
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theme_bw()
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#readme_reading_ease
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library(gridExtra)
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grid.arrange(contributing_reading_ease, contributing_reading_time_plot, readme_reading_ease, readme_reading_time_plot, nrow = 2)
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