timeseries_imput: Impute the missing value for the timeseries using the linear...
In Spatial-R/EnvExpInd: Environmental Exposure on the Individual Level

Description Usage Arguments Value Author(s) Examples

Complete the time series using the linear interpolation

1	timeseries_imput(data, date_var, site_var, imput_col)

`data`	data.frame, contains the refrence id, individual_id and exposure_date
`date_var`	character, varibale name in data, represents the monitoring date.
`site_var`	character, varibale name in data, represents the name of monitoring site.
`imput_col`	numeric,the column position of the target variables need to be imputed

a data.frame

Bing Zhang, https://github.com/Spatial-R/EnvExpInd

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library(EnvExpInd)
pollutant_data_com <- timeseries_imput(data= pollutant_data,date_var = "date",
                      site_var = "site.name",imput_col = 3:8)