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This function check that all interviews in the dataset were made within a distance from a sampled point. It is based on a GIS shapefile providing the sample points for the assessment. The function is based on the GPS data filled in the survey to determine their location. There is an option to automatically mark for deletion the surveys which are to far away from a sampled point.

One internal function "make_GeodesicBuffer" used to create the buffers is created by Valentin https://stackoverflow.com/users/5193830/valentin

Usage

isInterviewAtTheSamplePoint(
  ds = NULL,
  dsCoordinates = NULL,
  sampledPoints = NULL,
  buffer = 10,
  surveyConsent = NULL,
  reportingColumns = c(enumeratorID, uniquerespondantID),
  deleteIsInterviewAtTheSamplePoint = FALSE
)

Arguments

ds

dataset containing the survey (from kobo): labelled data.frame

dsCoordinates

name of the fields from the dataset where the information about the GPS coordinates are stored: list of string (c('Long','Lat'))

sampledPoints

dataset containing the shapefile of the households sampled - Regardless the projection used for the shapefile, it is transformed to WGS84

buffer

value in meter to determine the buffer from a sampled point which is acceptable: integer

surveyConsent

name of the field in the dataset where the survey consent is stored: string

reportingColumns

(Optional, by default it is built from the enumeratorID and the uniquerespondantID) name of the columns from the dataset you want in the result: list of string (c('col1','col2',...))

deleteIsInterviewAtTheSamplePoint

(Optional, by default set as FALSE) if TRUE, the survey in error will be marked as 'deletedIsInterviewAtTheSamplePoint': boolean (TRUE/FALSE)

checkperiod

if not null number of day before today when the check should be made

consentForValidSurvey

value defined in the kobo form to acknowledge the surveyed person gave his consent: string

uniquerespondantID

name of the field where the survey unique ID is stored: string

enumeratorID

name of the field where the enumerator ID is stored: string

Value

result a list that includes: * dst same dataset as the inputed one but with survey marked for deletion if errors are found and delete=TRUE (or NULL) * ret_log list of the errors found (or NULL) * var a list of value (or NULL) * graph graphical representation of the results (or NULL)

Examples

load(system.file("sample_dataset.RData", package = "HighFrequencyChecks")) 
ds <- sample_dataset
load(system.file("SamplePts.RData", package = "HighFrequencyChecks"))
sampledPoints <- SamplePts
#> Loading required package: sp

dsCoordinates <- c("X_gps_reading_longitude","X_gps_reading_latitude")
buffer <- 10
surveyConsent <- "survey_consent"
uniquerespondantID <- "X_uuid"
enumeratorID <- "enumerator_id"
reportingColumns <- c(enumeratorID, uniquerespondantID)

# result <- isInterviewAtTheSamplePoint(ds = ds,
#                                       dsCoordinates = dsCoordinates,
#                                       sampledPoints=sampledPoints,
#                                       buffer=buffer,
#                                       surveyConsent=surveyConsent,
#                                       reportingColumns=reportingColumns,
#                                       deleteIsInterviewAtTheSamplePoint=FALSE)
# knitr::kable(head(result[["ret_log"]], 10))
# print(result[["graph"]])