read_2017.RdReads and does basic cleaning on the Health Survey for England 2017.
Character string - the root directory. This is the section of the file path to where the data is stored that might vary depending on how the network drive is being accessed. The default is "X:/", which corresponds to the University of Sheffield's X drive in the School of Health and Related Research. Within the function, the root is pasted onto the front of the rest of the file path specified in the 'file' argument. Thus, if root = NULL, then the complete file path is given in the 'file' argument.
Character string - the file path and the name and extension of the file. The function has been designed and tested to work with tab delimited files '.tab'. Files are read by the function [data.table::fread].
Character string - select either: "all" - keep all variables in the survey data; "tobalc" - keep a reduced set of variables associated with tobacco and alcohol consumption and a selected set of survey design and socio-demographic variables that are needed for the functions within the hseclean package to work.
Returns a data table.
The HSE 2017 sample comprised of a core general population sample. There was no boost sample in 2017. The sample comprised 9,612 addresses selected at random in 534 postcode sectors, issued over twelve months from January to December 2017. Field work was completed in March 2018. Adults and children were interviewed at households identified at the selected addresses. Up to four children in each household were selected to take part at random; up to two aged 2 to 12 and up to two aged 13 to 15. A total of 7,997 adults aged 16 and over and 1,985 children aged 0-15 were interviewed, including 5,196 adults and 1,195 children who had a nurse visit. From 2015 HSE data contains the 2015 English index of multiple deprivation, divided into quintiles.
The data is read by the function [data.table::fread]. The 'root' and 'file' arguments are pasted together to form the file path. The following are converted to NA: c("NA", "", "-1", "-2", "-6", "-7", "-8", "-9", "-90", "-90.0", "-99", "N/A"). All variable names are converted to lower case. The cluster and probabilistic sampling unit have the year appended to them. Some renaming of variables is done for consistency with other years.
if (FALSE) {
data_2017 <- read_2017("X:/",
"ScHARR/PR_Consumption_TA/HSE/HSE 2017/UKDA-8334-tab/tab/hse2016_eul.tab")
}