Removes rows that contain 'NA' and/or 'Inf' entries

Source: R/remove_rows_n.R

This function removes any rows in which an 'NA' or an 'Inf' entry is found. The function is also able to remove records with 'Inf' entries, distinguishing it from the popular 'na.omit()' function in R.

remove_rows_n(traj, id_field=TRUE, remove=1)

Arguments

traj

[data.frame (numeric)]: longitudinal data. Each row represents an individual trajectory (of observations). The columns show the observations at consecutive time points.
id_field

[numeric or character] Whether the first column of the traj is a unique (id) field. Default: FALSE. If TRUE the function recognises the second column as the first time step.
remove

[integer] Type of missing entries to remove. 1 for 'NA', 2 for 'Inf', and 3 for both. Default:1.

Value

A matrix with complete observations

Details

Given a matrix (or a dataframe) containing an 'NA' or an 'Inf' entry, the function returns only rows with complete observations.

Examples


data(traj)

remove_rows_n(traj, id_field=TRUE, remove=3)

#> [1] "Message: 6 row(s) containing 'NA' or 'Inf' entries removed!"
#> $totalRowsRemoved
#> [1] 6
#> 
#> $CleanData
#>    location_ids X2001 X2002 X2003 X2004 X2005 X2006 X2007 X2008 X2009
#> 1     E01012628     3     0     1     2     1     0     1     4     0
#> 3     E01004803     4     3     0    10     2     3     6     6     8
#> 6     E01004808     8     5     8     4     1     5     6     1     1
#> 10    E01004806    25    12    14    15    18    13    21    27    17
#>