library(reshape2)
library(stringr)
sch_2015 <- read.csv('data-raw/SchoolGrowthNorms2015.csv')
sch_2015_long <- sch_2015 %>%
dplyr::mutate(
Subject = ifelse(Subject == 1, 'Mathematics', Subject),
Subject = ifelse(Subject == 2, 'Reading', Subject),
Subject = ifelse(Subject == 3, 'Language Usage', Subject),
Subject = ifelse(Subject == 4, 'General Science', Subject)
) %>%
reshape2::melt(
id.vars = c('Subject', 'Grade', 'StartRIT')
) %>%
dplyr::mutate(
time_window = str_sub(variable, 2, 3),
variable = str_sub(variable, 1, 1),
variable = ifelse(variable == 'P', 'typical_cohort_growth', variable),
variable = ifelse(variable == 'Q', 'reported_cohort_growth', variable),
variable = ifelse(variable == 'U', 'sd_of_expectation', variable)
) %>%
dplyr::mutate(
start_fallwinterspring = str_sub(time_window, 1, 1),
end_fallwinterspring = str_sub(time_window, 2, 2),
start_fallwinterspring = ifelse(start_fallwinterspring == '1', 'Winter', start_fallwinterspring),
start_fallwinterspring = ifelse(start_fallwinterspring == '2', 'Spring', start_fallwinterspring),
start_fallwinterspring = ifelse(start_fallwinterspring == '3', 'Summer', start_fallwinterspring),
start_fallwinterspring = ifelse(start_fallwinterspring == '4', 'Fall', start_fallwinterspring),
end_fallwinterspring = ifelse(end_fallwinterspring == '1', 'Winter', end_fallwinterspring),
end_fallwinterspring = ifelse(end_fallwinterspring == '2', 'Spring', end_fallwinterspring),
end_fallwinterspring = ifelse(end_fallwinterspring == '3', 'Summer', end_fallwinterspring),
end_fallwinterspring = ifelse(end_fallwinterspring == '4', 'Fall', end_fallwinterspring)
) %>%
dplyr::mutate(
growth_window = paste0(start_fallwinterspring, ' to ', end_fallwinterspring)
) %>%
dplyr::mutate(
Grade = ifelse(Grade == 13, 0, Grade)
) %>%
#omg omg omg
dplyr::mutate(
Grade = ifelse(growth_window == 'Fall to Fall', Grade + 1, Grade)
) %>%
dplyr::rename(
measurementscale = Subject,
rit = StartRIT,
end_grade = Grade
) %>%
dplyr::select(-time_window) %>%
reshape2::dcast(
end_grade + measurementscale + growth_window + start_fallwinterspring +
end_fallwinterspring + rit ~ variable, value.var = 'value'
) %>%
dplyr::select(
end_grade, measurementscale, growth_window,
start_fallwinterspring, end_fallwinterspring, rit,
typical_cohort_growth, sd_of_expectation, reported_cohort_growth
) %>%
dplyr::tbl_df()
write.csv(sch_2015_long, file = 'data-raw/SchoolGrowthNorms2015_tidy.csv')
sch_growth_norms_2015 <- sch_2015_long
save(sch_growth_norms_2015, file = 'data/sch_growth_norms_2015.rda')
sch_2015_long %>% peek()
sch_2015_long %>% peek() %>% str()
sch_2015_long$end_grade %>% table()
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