interpolate_wdi: Interpolate missing values in indicator variables
In edalfon/wdiquickplots: Quick Plots for WDI data and other World Bank-hosted databases
Description
Usage
Arguments
Value
Description
most probably, there will be missing values in some countries for some years
so here's a controversial decision to make the animations look good. Let's
fill missing values for each country, by interpolating values in the gaps and
filling with the first or last value available
Usage
1
interpolate_wdi(wdi_data)
Arguments
wdi_data
dataset to interpolate, as returned by download_wdi
Value
a data.frame with interpolated values and additional column
indicating which indicators, for which year and country were
interpolated
edalfon/wdiquickplots documentation built on Dec. 24, 2021, 3 p.m.
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Description Usage Arguments Value
Description
most probably, there will be missing values in some countries for some years so here's a controversial decision to make the animations look good. Let's fill missing values for each country, by interpolating values in the gaps and filling with the first or last value available
Usage
1 | interpolate_wdi(wdi_data)
|
Arguments
wdi_data |
dataset to interpolate, as returned by download_wdi |
Value
a data.frame with interpolated values and additional column indicating which indicators, for which year and country were interpolated
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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