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library(RPostgreSQL) | |
library(dplyr) | |
library(lazyeval) | |
library(userfriendlyscience) | |
# DB Connections | |
partd <- tbl(src_postgres(dbname = "propublica", user="postgres"), "partd") | |
# Change specialty filter | |
state_p_brand <- partd %>% filter(address_state == 'TX', specialty == 'Cardiovascular Disease') %>% select(p_brand, total_amount) %>% mutate( | |
group = if(total_amount == 0) | |
'$0' | |
else if(total_amount > 0 & total_amount < 100) | |
'<$100' | |
else if(total_amount >= 100 & total_amount < 500) | |
'$100<$500' | |
else if(total_amount >= 500 & total_amount < 1000) | |
'$500<$1000' | |
else if(total_amount >= 1000 & total_amount < 5000) | |
'$1000<$5000' | |
else if(total_amount >= 5000) | |
'>=$5000' | |
) %>% collect() | |
fit <- aov(p_brand ~ group, data=state_p_brand) | |
oneway(state_p_brand$p_brand, state_p_brand$group, posthoc="games-howell", means=TRUE, fullDescribe=TRUE, levene=FALSE, | |
plot=FALSE, digits=2, pvalueDigits=3, t=FALSE, conf.level=.95) |
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