43 lines
1.2 KiB
R
43 lines
1.2 KiB
R
library(stringr)
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library(tidyverse)
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readme_topics_df <- read_csv("../text_analysis/readme_file_topic_distributions.csv")
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contrib_topics_df <- read_csv("../text_analysis/contrib_file_topic_distributions.csv")
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quantile(contrib_topics_df$t0)
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confint(contrib_topics_df$t0)
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sd(contrib_topics_df$t0)
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quantile(contrib_topics_df$t1)
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mean(contrib_topics_df$t1)
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sd(contrib_topics_df$t1)
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quantile(contrib_topics_df$t2)
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mean(contrib_topics_df$t2)
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sd(contrib_topics_df$t2)
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quantile(contrib_topics_df$t3)
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mean(contrib_topics_df$t3)
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sd(contrib_topics_df$t3)
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quantile(readme_topics_df$t0)
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mean(readme_topics_df$t0)
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sd(readme_topics_df$t0)
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quantile(readme_topics_df$t1)
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mean(readme_topics_df$t1)
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sd(readme_topics_df$t1)
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quantile(readme_topics_df$t2)
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mean(readme_topics_df$t2)
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sd(readme_topics_df$t2)
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quantile(readme_topics_df$t3)
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mean(readme_topics_df$t3)
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sd(readme_topics_df$t3)
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quantile(readme_topics_df$t4)
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mean(readme_topics_df$t4)
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sd(readme_topics_df$t4)
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quantile(readme_topics_df$t5)
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mean(readme_topics_df$t5)
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sd(readme_topics_df$t5)
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quantile(readme_topics_df$t6)
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mean(readme_topics_df$t6)
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sd(readme_topics_df$t6)
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quantile(readme_topics_df$t7)
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mean(readme_topics_df$t7)
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sd(readme_topics_df$t7)
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