### Install phslookups from Posit Workbench

Source: https://github.com/public-health-scotland/phslookups/blob/main/README.md

Install the phslookups package from the internal Posit Package Manager on the Posit Workbench.

```r
install.packages("phslookups")
```

--------------------------------

### Install phslookups from GitHub

Source: https://github.com/public-health-scotland/phslookups/blob/main/README.md

Install the development version of the phslookups package directly from GitHub using the remotes package.

```r
remotes::install_github("Public-Health-Scotland/phslookups")
```

--------------------------------

### Install phslookups from RStudio Desktop

Source: https://github.com/public-health-scotland/phslookups/blob/main/README.md

Install the phslookups package on RStudio Desktop, potentially requiring explicit repository specification.

```r
install.packages("phslookups", repos = "https://ppm-prod.publichealthscotland.org/phs-github/latest")
```

--------------------------------

### Get Lookups Directory Path

Source: https://github.com/public-health-scotland/phslookups/blob/main/tests/testthat/_snaps/windows/get_lookups_dir.md

Call the get_lookups_dir() function to retrieve the expected directory path for lookups on Windows systems.

```R
get_lookups_dir()
```

--------------------------------

### Select specific columns for efficiency

Source: https://github.com/public-health-scotland/phslookups/blob/main/README.md

Retrieve only necessary columns from lookup data using the col_select argument to reduce memory usage and improve performance. This example demonstrates selecting columns for postcode coordinates and datazone-locality mapping.

```r
library(phslookups)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

postcode_coords <- get_spd(col_select = c("pc7", "latitude", "longitude"))
#> ℹ Using the latest available version:
#> "Scottish_Postcode_Directory_2026_1".
#> If you require an older version or for reproducibility purposes
#> please specify the version argument accordingly.
dz_locality_lookup <- get_hscp_locality(col_select = c("datazone2011", "hscp_locality"))
#> ℹ Using the latest available version:
#> "HSCP Localities_DZ11_Lookup_20240513".
#> If you require an older version or for reproducibility purposes
#> please specify the version argument accordingly.
dz_simd2016_quintiles <- get_simd_datazone(
  simd_version = "2016",
  col_select = c("DataZone2011", contains("quintile"))
)
```

--------------------------------

### Retrieve specific versions of lookup data

Source: https://github.com/public-health-scotland/phslookups/blob/main/README.md

Get specific versions of the Scottish Postcode Directory, HSCP Localities, and SIMD data using the version argument. This is useful for reproducibility.

```r
library(phslookups)

spd_23 <- get_spd(version = "2023_2")
localities_mar_24 <- get_hscp_locality(version = "20240308")
simd_dz_2016 <- get_simd_datazone(simd_version = "2016")
simd_pc_2016_2012 <- get_simd_postcode(postcode_version = "2016_1", simd_version = "2012")
```

--------------------------------

### Load and view Scottish Postcode Directory

Source: https://github.com/public-health-scotland/phslookups/blob/main/README.md

Load the phslookups library and retrieve the latest version of the Scottish Postcode Directory, then display the first few rows.

```r
library(phslookups)

spd <- get_spd()
#> ℹ Using the latest available version:
#> "Scottish_Postcode_Directory_2026_1".
#> If you require an older version or for reproducibility purposes
#> please specify the version argument accordingly.
head(spd)
#> # A tibble: 6 × 95
#>   pc7     pc8     split_char pc_district pc_sector date_of_introduction
#>   <chr>   <chr>   <chr>      <chr>       <chr>     <date>              
#> 1 AB1 0AA AB1 0AA <NA>       AB1         AB1 0     1980-01-01          
#> 2 AB1 0AB AB1 0AB <NA>       AB1         AB1 0     1973-08-01          
#> 3 AB1 0AD AB1 0AD <NA>       AB1         AB1 0     1973-08-01          
#> 4 AB1 0AE AB1 0AE <NA>       AB1         AB1 0     1994-02-01          
#> 5 AB1 0AF AB1 0AF <NA>       AB1         AB1 0     1990-12-01          
#> 6 AB1 0AG AB1 0AG <NA>       AB1         AB1 0     1990-12-01          
#> # ℹ 89 more variables: date_of_deletion <date>, postcode_type <chr>,
#> #   pc_su_link <chr>, split_su_link <chr>, imputed <chr>, dpc <int>,
#> #   dpc_nr <int>, hhc <int>, grid_reference_easting <int>,
#> #   grid_reference_northing <int>, latitude <dbl>, longitude <dbl>,
#> #   split_indicator <chr>, ca2019 <chr>, ca2019name <chr>, ca2018 <chr>,
#> #   ca2011 <chr>, upc2024 <chr>, spr2021 <chr>, spc2021 <chr>, ew2022 <chr>,
#> #   hb2019 <chr>, hb2019name <chr>, hb2018 <chr>, hb2014 <chr>, hb2006 <chr>, …
```

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