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View Code? Open in Web Editor NEWR version of the Stata command bcstats
License: MIT License
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Missing Values
Consider the following cases of missing data
- Back data is missing and the survey data is not.
- Survey data is missing and the back data is not.
- Survey data and back data is missing.
Each one of these cases will return a NA when evaluated instead of a TRUE or FALSE.
Enable -summary- with a bcstats object
Create a bcstats S3 or S4 object that users can invoke summary to get a well formated list of results.
can't find `ttest` element referenced in example code
Hi, I'm stepping through the example code and don't see a ttest element in the list of results.
library(bcstatsR)
data(survey)
data(bc)
result <- bcstats(surveydata = survey,
bcdata = bc,
id = "id",
t1vars = "gender",
t2vars = "gameresult",
t3vars = "itemssold",
enumerator = "enum",
enumteam = "enumteam",
backchecker = "bcer")
result[["ttest"]]
# NULL
str(result, 1)
# List of 7
# $ backcheck :'data.frame': 26 obs. of 8 variables:
# $ enum1 :List of 2
# $ enum2 :List of 2
# $ enumteam1 :List of 2
# $ enumteam2 :List of 2
# $ backchecker1:List of 2
# $ backchecker2:List of 2
# NULL
m stepping through the example code and don't see a 'ttest' element in the list of results.
library(bcstatsR)
data(survey)
data(bc)
result <- bcstats(surveydata = survey,
bcdata = bc,
id = "id",
t1vars = "gender",
t2vars = "gameresult",
t3vars = "itemssold",
enumerator = "enum",
enumteam = "enumteam",
backchecker = "bcer")
result[["ttest"]]
# NULL
I'm not sure what precisely the expected output is -- I haven't looked into the code yet.
My result object looks like:
str(result, 1)
# List of 7
# $ backcheck :'data.frame': 26 obs. of 8 variables:
# $ enum1 :List of 2
# $ enum2 :List of 2
# $ enumteam1 :List of 2
# $ enumteam2 :List of 2
# $ backchecker1:List of 2
# $ backchecker2:List of 2
# NULL
Thanks!
Consider switching recommended installation to ghit instead of devtools.
Seems like ghit is a lighter way for users to install R packages from Github as opposed to devtools, which includes several more dependencies for developing R packages.
Factors
How should factors be handled? For example, if the survey data uses different factors for a variable than the back check, then the comparison will be messed up. Should they just be coerced to a string?
bcstats for Stata does report differences in Type 3 variables
Need to add Type 3 variables to backcheck results. Consider moving
# Type 3 variables do not have errors
pairwise$error[pairwise$type == "Type 3"] <- FALSE
to after storing the back check and proceeding to error rate reporting.
Create Shiny Gadget interface
It'd be nice to add a graphical interface using Shiny Gadgets.
What if no errors present
Handle cases where there are no differences between the survey and the back check.
Wilcoxon Signed Rank Tests
Returns different results than Stata (probably not using the same test as Stata).
bcstats issue (merge error)
Please see the following error
# 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")
Error in fix.by(by.y, y) : 'by' must specify a uniquely valid column
>
> print(compute.bc$backcheck)
Error in print(compute.bc$backcheck) : object 'compute.bc' not found
>
Adding multiple variables
@vikjam
Is there a way to add multiple Type 1/2/3 variables? In the examples I only see 1 variable for each, and I'm not sure what other type of object "t1vars" would take than individual variable names.
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