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make_crosstabs.R
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make_crosstabs.R
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# ----------------
# Making crosstabs
# ----------------
library(magrittr)
library(tidyr)
library(dplyr)
library(janitor)
library(tidyverse)
library(glue)
# Get necessary functions
source("crosstab_functions.R")
# Getting cleaned data
cs <- openxlsx::read.xlsx("survey_with_new_vars.xlsx")
# ---------------------------------------------------------------------------------------------
# Carer
# ---------------------------------------------------------------------------------------------
primary_variable <- "Carer"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare", "WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport")
selections <- list("ADSupportSinceShielding" = list("Disagree", "Strongly disagree"),
"DifficultyGettingSocialCareSupport" = list("Quite difficult", "Very difficult"))
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Shielding or caring
# ---------------------------------------------------------------------------------------------
primary_variable <- "SurveySubject"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport")
selections <- list("ADSupportSinceShielding" = list("Disagree", "Strongly disagree"),
"DifficultyGettingSocialCareSupport" = list("Quite difficult", "Very difficult"))
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Clinical category
# ---------------------------------------------------------------------------------------------
primary_variable <- "WhenAdvisedHighRisk"
secondary_variables <- c("WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "UsefulVaccineEffectivenessInfo",
"CurrentApproachToManagingRisk", "FutureHRGroup")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Gender
# ---------------------------------------------------------------------------------------------
primary_variable <- "Gender"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Age Groups
# ---------------------------------------------------------------------------------------------
primary_variable <- "AgeGroup2"
secondary_variables <- c("InitialShieldingEmployment", "UsefulReturnWorkNewJobSupport",
"SGSafeToWork", "HRPEmployerFlexibility")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
primary_variable <- "AgeGroup3"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed","ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport")
selections <- list("ADSupportSinceShielding" = list("Disagree", "Strongly disagree"),
"DifficultyGettingSocialCareSupport" = list("Quite difficult", "Very difficult"))
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Impairment
# ---------------------------------------------------------------------------------------------
primary_variable <- "Impairment"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare", "WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Number in household
# ---------------------------------------------------------------------------------------------
primary_variable <- "NumberInHousehold"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Children
# ---------------------------------------------------------------------------------------------
primary_variable <- "ChildrenInHousehold"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare", "WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport", "SGSafeYoungSchoolUniChildcare")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Deprivation
# ---------------------------------------------------------------------------------------------
primary_variable <- "UnexpectedExpenseDifficulty"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingFinance", "WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport", "SGSafePublicTransport",
"ChangesEndFreeFoodBoxes")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Employment
# ---------------------------------------------------------------------------------------------
primary_variable <- "Employment"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare",
"InitialShieldingEmployment", "InitialShieldingEducation",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport","UsefulReturnWorkNewJobSupport",
"UsefulReturnEducationSupport", "SGSafeToWork", "SGSafeYoungSchoolUniChildcare",
"HRPEmployerFlexibility", "HRPEducationFlexibility")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
primary_variable <- "EmploymentEmployed"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare",
"InitialShieldingEmployment", "InitialShieldingEducation",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport","UsefulReturnWorkNewJobSupport",
"UsefulReturnEducationSupport", "SGSafeToWork", "SGSafeYoungSchoolUniChildcare",
"HRPEmployerFlexibility", "HRPEducationFlexibility")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
primary_variable <- "EmploymentRetired"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare",
"InitialShieldingEmployment", "InitialShieldingEducation",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport","UsefulReturnWorkNewJobSupport",
"UsefulReturnEducationSupport", "SGSafeToWork", "SGSafeYoungSchoolUniChildcare",
"HRPEmployerFlexibility", "HRPEducationFlexibility")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
primary_variable <- "EmploymentUnemployed"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare",
"InitialShieldingEmployment", "InitialShieldingEducation",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport","UsefulReturnWorkNewJobSupport",
"UsefulReturnEducationSupport", "SGSafeToWork", "SGSafeYoungSchoolUniChildcare",
"HRPEmployerFlexibility", "HRPEducationFlexibility")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
primary_variable <- "EmploymentLookingAfterHomeOrFamily"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare",
"InitialShieldingEmployment", "InitialShieldingEducation",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport","UsefulReturnWorkNewJobSupport",
"UsefulReturnEducationSupport", "SGSafeToWork", "SGSafeYoungSchoolUniChildcare",
"HRPEmployerFlexibility", "HRPEducationFlexibility")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
primary_variable <- "EmploymentNotWorkingDisabilityOrCondition"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare",
"InitialShieldingEmployment", "InitialShieldingEducation",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport","UsefulReturnWorkNewJobSupport",
"UsefulReturnEducationSupport", "SGSafeToWork", "SGSafeYoungSchoolUniChildcare",
"HRPEmployerFlexibility", "HRPEducationFlexibility")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
primary_variable <- "EmploymentEducation"
secondary_variables <- c("InitialShieldingQualityOfLife", "InitialShieldingMentalHealth",
"InitialShieldingQualityOfCare",
"InitialShieldingEmployment", "InitialShieldingEducation",
"WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ADSupportSinceShielding",
"DifficultyGettingSocialCareSupport","UsefulReturnWorkNewJobSupport",
"UsefulReturnEducationSupport", "SGSafeToWork", "SGSafeYoungSchoolUniChildcare",
"HRPEmployerFlexibility", "HRPEducationFlexibility")
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Worried but no longer at highest risk
# ---------------------------------------------------------------------------------------------
primary_variable <- "WorriedButNoLongerHighestRisk"
secondary_variables <- c("UsefulMentalHealthSupport","UsefulPhysicalHealthSupport", "UsefulReturnWorkNewJobSupport",
"UsefulReturnEducationSupport", "UsefulVaccineEffectivenessInfo",
"UsefulMorePeopleFollowedGuidelines", "UsefulNoMoreHighRiskVulnerableTerms",
"UsefulNoneAboveJustTime", "UsefulNoneAboveNotWantGoBack",
"FutureHRWebpage", "FutureChiefMedicalOfficerLetter", "FutureSMSShieldingUpdates",
"FutureHRGroup" )
selections <- NA
gitcreds::gitcreds_set()
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Severely immunosuppressed
# ---------------------------------------------------------------------------------------------
primary_variable <- "SeverelyImmunosuppressed"
secondary_variables <- c("UsefulMentalHealthSupport","UsefulPhysicalHealthSupport", "UsefulReturnWorkNewJobSupport",
"UsefulReturnEducationSupport", "ChangesEndFreeFoodBoxes",
"UsefulMorePeopleFollowedGuidelines", "UsefulNoMoreHighRiskVulnerableTerms",
"UsefulNoneAboveJustTime", "UsefulNoneAboveNotWantGoBack", "CurrentApproachToManagingRisk",
"ApproachMainlyDrivenFearInfection", "ApproachInfluenceFromShieldingAdvice",
"ApproachNoDependenceSGovAdvice", "ApproachLessAfraidSinceVaccine",
"ApproachHardToTrustGuidanceWhichSaysSafe", "SGSafeToWork" , "SGSafePublicTransport",
"SGSafeYoungSchoolUniChildcare", "SGSafeSameRestPopulation", "HowSeeFuture",
"FutureHRWebpage", "FutureChiefMedicalOfficerLetter", "FutureSMSShieldingUpdates",
"FutureHRGroup"
)
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)
# ---------------------------------------------------------------------------------------------
# Vaccination status
# ---------------------------------------------------------------------------------------------
primary_variable <- "Vaccinated"
secondary_variables <- c("WorriedButNoLongerHighestRisk",
"SeverelyImmunosuppressed", "ApproachMainlyDrivenFearInfection"
)
selections <- NA
make_crosstab(primary_variable, secondary_variables, selections)