How To Code?

CEU - 2015 Fall

János Divényi

1 - Stay organized

Project

do_code.do

GretlV1.csv

gretl_1.gretl

stata.dta

Project

Data

Code

Output

Project

Data

appended_trade.csv

2003.csv

Code

2004.csv

…

Output

Project

Data

Code

append_data_files.R

analyse_export_import.R

Output

Project

Data

regressions.htm

export_import.png

Output

Code

2 - Be clear

# use comments

## to explain

## to create sections

mydf %>% mutate(lx = log(x))

coke_prices %>%

mutate(log_price = log(price))

mydf %>% mutate(lx = log(x))

coke_prices %>%

mutate(log_price = log(price))

3 - Don’t repeat

trade2003 <- read.csv(′2003.csv′)

trade2004 <- read.csv(′2004.csv′)

trade2005 <- read.csv(′2005.csv′)

…

trade2013 <- read.csv(′2013.csv′)

rbind(trade2003, trade2004, …, trade2013)

trade2003 <- read.csv(′2003.csv′,

header=FALSE, …)

trade2004 <- read.csv(′2004.csv′)

trade2005 <- read.csv(′2005.csv′)

…

trade2013 <- read.csv(′2013.csv′)

bind_rows(trade2003, …, trade2013)

bind_rows(

lapply(

2003:2013,

function(year) {

read.csv(paste(year, ′.csv′),header=FALSE, …)

}

)

)

+1 – Search for help