vignettes/lifeExpectancy.md

In sebsfox/fingertipsR: Fingertips Data for Public Health

title: "Plotting healthy life expectancy and life expectancy by deprivation for English local authorities" author: "Seb Fox" date: "2017-04-10" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Life expectancy by deprivation} %\VignetteEngine{knitr::knitr} %\VignetteEncoding{UTF-8}

This worked example attempts to document a common workflow a user might follow when using the fingertipsR package.

Suppose you want to plot healthy life expectancy and life expectancy by deprivation for a given year of data that fingertips contains - you will begin by wondering where to start.

Where to start

There is one function in the fingertipsR package that extracts data from the Fingertips API: fingertips_data(). This function has the following inputs:

• IndicatorID
• AreaCode
• DomainID
• ProfileID
• AreaTypeID (this defaults to 102; County and Unitary Authority)
• ParentAreaTypeID (this defaults to 6; Government Office Region)

One of IndicatorID, DomainID or ProfileID must be complete. AreaCode needs completion if you are extracting data for a particular area or group of areas only. AreaTypeID determines the geography to extract the data for. In this case we want County and Unitary Authority level. ParentAreaTypeID requires an area type code that the AreaTypeID maps to.

Therefore, the inputs to the fingertips_data function that we need to find out are the ID codes for:

• IndicatorID
• AreaTypeID
• ParentAreaTypeID

We need to begin by calling the fingertipsR package:

IndicatorID

There are two indicators we are interested in for this exercise. Without consulting the Fingertips website, we know approximately what they are called:

• Healthy life expectancy
• Life expectancy

We can use the indicators() function to return a list of all the indicators within Fingertips. We can then filter the name field for the term life expectancy (note, the IndicatorName field has been converted to lower case in the following code chunk to ensure matches will not be overlooked as a result of upper case letters).

inds <- indicators()
life_expectancy <- inds[grepl("life expectancy", tolower(inds$IndicatorName)),]

# Because the same indicators are used in multiple profiles, there are many repeated indicators in this table (some with varying IndicatorName but same IndicatorID)

# This returns a record for each IndicatorID
life_expectancy <- unique(life_expectancy[duplicated(life_expectancy$IndicatorID) == FALSE,
                                          c("IndicatorID", "IndicatorName")]) 
knitr::kable(life_expectancy, row.names = FALSE)

| IndicatorID|IndicatorName | |-----------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 90362|Healthy life expectancy at birth: the average number of years a person would expect to live in good health based on contemporary mortality rates and prevalence of self-reported good health. (in PHOF 0.1i) | | 90364|Range in years. Slope index of inequality in life expectancy at birth within local authorities, based on local (LSOA) deprivation deciles: the range in years of life expectancy across the social gradient within each local authority, from most to least deprived. (in PHOF 0.2iii) | | 90366|Life expectancy at birth: the average number of years a person would expect to live based on contemporary mortality rates. (in PHOF 0.1ii) | | 92031|Range in years. Slope index of inequality in healthy life expectancy within local authorities, based on deprivation within Middle Super Output Areas (MSOAs): the range in years of life expectancy across the social gradient within each local authority. (in PHOF 0.2vi) | | 91102|0.1ii - Life expectancy at 65: the average number of years a person would expect to live based on contemporary mortality rates. | | 90365|0.2iv - The gap in years between overall life expectancy at birth in each English local authority and life expectancy at birth for England as a whole. | | 650|Life expectancy - MSOA based | | 90363|0.2i - Slope index of inequality in life expectancy at birth based on national deprivation deciles within England: the range in years of life expectancy across the social gradient, from most to least deprived. | | 90823|0.2ii - Number of upper tier local authorities for which the local slope index of inequality in life expectancy (as defined in indicator 0.2iii) has decreased | | 90825|0.2v - Slope index of inequality in healthy life expectancy at birth based on national deprivation deciles within England: the range in years of life expectancy across the social gradient, from most to least deprived. | | 91319|0.2vii - Slope index of inequality in life expectancy at birth within English region, based on regional deprivation deciles: the range in years of life expectancy across the social gradient within each local authority, from most to least deprived. |

The two indicators we are interested in from this table are:

• 90362
• 90366

AreaTypeID

We can work out what the AreaTypeID codes we are interested in using the function area_types(). We've decided that we want to produce the graph at County and Unitary Authority level. From the section [Where to start] we need codes for AreaTypeID and ParentAreaTypeID.

sebsfox/fingertipsR documentation built on May 24, 2019, 7:19 a.m.