You can install the development version of tidylfs from GitHub with:
# install.packages("devtools")
devtools::install_github("wklimowicz/tidylfs")Copy the LFS .sav files into a directory (in my example
lfs_data_folder). They should look like this (the naming convention is
important since that’s how the package knows which quarter and year the
data is from):
.
└── lfs_data_folder/
├── 1992 Q1.sav
├── 1992 Q2.sav
├── ...
└── 2020 Q2.sav
You can then run:
library(tidylfs)
# Converts `.sav` files to `.Rds` files, to save
# space and for quicker loading
lfs_convert(
directory = "lfs_data_folder/",
output_directory = "lfs_rds_folder/"
)
# Compiles into one file.
lfs <- lfs_compile(directory = "lfs_rds_folder/")To view the variable mapping use variable_mapping():
variable_mapping(lfs)Code to reproduce some official ONS publications is in the
vignette("stats-replication"). For more information on the ONS
variables, see the LFS
Guidance.
A core set of variables is included by default. See R/mappings.R for
the complete set. To add more variables see
vignette("adding-variables").
| Variable Name | Definition |
|---|---|
| YEAR | Year |
| QUARTER | Quarter |
| SEX | Sex |
| GOVTOR | Government Office Region |
| AGE | Age |
| ETHNICITY | Ethnicity |
| FTPTWK | Part-Time/Full-time Status |
| EDAGE | Age when completed full time education |
| TTACHR | Actual hours worked |
| HIQUALD | Highest Qualification |
| DEGREE_SUBJECT | Degree Subject |
| OCCUPATION | Occupation in main job |
| PARENTAL_OCCUPATION | Parental Occupation at 14 |