46 lines
1.8 KiB
R
46 lines
1.8 KiB
R
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library(tidyverse)
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library(texreg)
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readme_rdd <- readRDS("mlm/models/020325_readme_model.rda")
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contrib_rdd <- readRDS("mlm/models/020125_contributing_model.rda")
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texreg(list(readme_rdd, contrib_rdd), stars=NULL, digits=3, use.packages=FALSE,
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custom.model.names=c( 'README','CONTRIBUTING'),
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custom.coef.names=c('(Intercept)', 'Indtroduction', 'Week (Time)', 'Project Age', 'Introduction:Week'),
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table=FALSE, ci.force = TRUE)
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readme_groupings <- read.csv('mlm/data/0203_readme_dweek_ranefs.csv')
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contrib_groupings <- read.csv('mlm/data/0201_contributing_dweek_ranefs.csv')
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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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readme_g <- readme_groupings |>
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ggplot(aes(x=rank, y=estimate, col = as.factor(ranef_grouping))) +
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geom_linerange(aes(ymin= conf.low, ymax= conf.high)) +
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scale_color_manual(values = subdirColors) +
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guides(fill="none", color="none")+
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theme_bw() +
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labs(x="RE Coefficient Rank", y="RE Coefficient Estimate", color="Estimate Grouping")
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readme_g
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contrib_g <- contrib_groupings |>
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ggplot(aes(x=rank, y=estimate, col = as.factor(ranef_grouping))) +
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geom_linerange(aes(ymin= conf.low, ymax= conf.high)) +
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scale_color_manual(values = subdirColors, labels=c('CI < 0', '0 in CI', '0 < CI')) +
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theme_bw() +
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theme(legend.position = "top") +
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labs(x="RE Coefficient Rank", y="RE Coefficient Estimate", color="Estimate Grouping")
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contrib_g
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#ggsave(filename = "plots/cr-0203-contributing-blup.png", plot = contrib_g, width = 9, height = 9, dpi = 800)
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texreg(list(readme_commits_, commits_), stars=NULL, digits=3, use.packages=FALSE,
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custom.model.names=c( 'README','Contributing'),
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custom.coef.names=c('Topic 1', 'Topic 2', 'Topic 3', 'Topic 4', 'Topic 5', 'Topic 6', 'Topic 7', 'Topic 8'),
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table=FALSE, ci.force = TRUE)
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