This package attempts to replicate the features of the Stata command bcstats in R.
Using the R package devtools, you can easily install bcstatsR.
devtools::install_github('vikjam/bcstatsR')
# Load bcstatsR
library(bcstatsR)
# Load a toy example bundled with bcstatsR
data(survey, bc)
# Compare the differences with bcstats
compute.bc <- bcstats(surveydata = survey,
bcdata = bc,
id = "id",
t1vars = "gender",
t2vars = "gameresult",
t3vars = "itemssold",
enumerator = "enum",
ttest = "itemssold")
print(compute.bc$backcheck)
You should see a list of all the differences
id enum type variable value.survey value.backcheck
1 1 hana type 2 gameresult 10 <NA>
2 1 hana type 3 itemssold 2 <NA>
3 2 mark type 1 gender female <NA>
4 2 mark type 3 itemssold 7 10
5 3 lisa type 2 gameresult 12 <NA>
6 3 lisa type 3 itemssold 1 <NA>
7 4 ife type 2 gameresult 10 <NA>
8 4 ife type 3 itemssold 5 <NA>
9 5 dean type 1 gender female <NA>
10 5 dean type 3 itemssold 3 5
11 6 annie type 2 gameresult 10 <NA>
12 6 annie type 1 gender <NA> male
13 6 annie type 3 itemssold 7 <NA>
14 7 dean type 1 gender female <NA>
15 8 annie type 2 gameresult 7 <NA>
16 8 annie type 3 itemssold 3 <NA>
17 9 brooke type 1 gender female <NA>
18 10 brooke type 2 gameresult 14 <NA>
19 10 brooke type 3 itemssold 1 <NA>
20 11 lisa type 1 gender female <NA>
21 12 hana type 1 gender female <NA>
22 12 hana type 3 itemssold 3 6
23 13 mateo type 2 gameresult 14 <NA>
24 13 mateo type 3 itemssold 1 <NA>
25 14 rohit type 2 gameresult 11 14
26 14 rohit type 1 gender female <NA>
For more information on the features available with bcstats check out the examples page.
