Nothing
## ---- message = FALSE---------------------------------------------------------
library(crosswalkr)
library(dplyr)
library(labelled)
library(haven)
## ---- echo = FALSE------------------------------------------------------------
file_1 <- data.frame(sid = c(1:3),
lname = c('Jackson','Harrison','Nixon'),
stat = c('VA','KY','IL'),
t_score = c(74,86,78),
stringsAsFactors = FALSE)
file_2 <- data.frame(stu_id = c(4:6),
last_name = c('Washington','Roosevelt','Taylor'),
st = c(35,11,47),
test_score = c(92,82,89),
stringsAsFactors = FALSE)
file_3 <- data.frame(s_id = c(7:9),
name = c('Tyler','Grant','Adams'),
sta = c('North Dakota','South Dakota','Illinois'),
score = c(91,82,89),
stringsAsFactors = FALSE)
## -----------------------------------------------------------------------------
df1 <- file_1 %>%
rename(id = sid,
last_name = lname,
stabbr = stat,
score = t_score)
df2 <- file_2 %>%
rename(id = stu_id,
stabbr = st,
score = test_score) %>%
mutate(stabbr = as.character(stabbr))
df3 <- file_3 %>%
rename(id = s_id,
stabbr = sta,
last_name = name)
df <- rbind(df1, df2, df3)
df
## ---- echo = FALSE------------------------------------------------------------
crosswalk <- data.frame(clean = c('id','last_name','stabbr','score'),
label = c('Student ID','Student last name',
'State abbreviation','Test score'),
file_1_raw = c('sid','lname','stat','t_score'),
file_2_raw = c('stu_id','last_name','st','test_score'),
file_3_raw = c('s_id','name','sta','score'),
stringsAsFactors = FALSE)
## -----------------------------------------------------------------------------
df1 <- renamefrom(file_1, cw_file = crosswalk, raw = file_1_raw, clean = clean, label = label)
df2 <- renamefrom(file_2, cw_file = crosswalk, raw = file_2_raw, clean = clean, label = label)
df3 <- renamefrom(file_3, cw_file = crosswalk, raw = file_3_raw, clean = clean, label = label)
df <- rbind(df1, df2, df3)
df
## -----------------------------------------------------------------------------
var_label(df)
## -----------------------------------------------------------------------------
data(stcrosswalk)
stcrosswalk
## -----------------------------------------------------------------------------
df1$state <- encodefrom(file_1, var = stat, stcrosswalk, raw = stabbr, clean = stfips, label = stname)
df1
sapply(df1, class)
## -----------------------------------------------------------------------------
file_1_ <- file_1 %>% tbl_df()
df1$state <- encodefrom(file_1_, var = stat, stcrosswalk, raw = stabbr,
clean = stfips, label = stname)
as_factor(df1)
zap_labels(df1)
## -----------------------------------------------------------------------------
df <- rbind(file_1 %>%
tbl_df() %>%
renamefrom(., crosswalk, file_1_raw, clean, label) %>%
mutate(stabbr = encodefrom(., stabbr, stcrosswalk, stabbr, stfips, stname)),
## append file 2
file_2 %>%
tbl_df() %>%
renamefrom(., crosswalk, file_2_raw, clean, label) %>%
mutate(stabbr = encodefrom(., stabbr, stcrosswalk, stfips, stfips, stname)),
## append file 3
file_3 %>%
tbl_df() %>%
renamefrom(., crosswalk, file_3_raw, clean, label) %>%
mutate(stabbr = encodefrom(., stabbr, stcrosswalk, stname, stfips, stname)))
df
as_factor(df)
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