Print summary stats about the distribution of missing values in a univariate time series.
statsNA(x, bins = 4, printOnly = TRUE)Split number for bin stats. Number of bins the time series gets divided into. For each bin information about amount/percentage of missing values is printed. Default value is 4 - what means stats about the 1st,2nd,3rd,4th quarter of the time series are shown.
Choose if the function Prints or Returns. For printOnly = TRUE the function has no return value and just prints out missing value stats. If printOnly is changed to FALSE, nothing is printed and the function returns a list. Print gives a little bit more information, since the returned list does not include "Stats for Bins" and "overview NA series"
A list containing the stats. Beware: Function gives only a return value
if printOnly = FALSE.
Prints the following information about the missing values in the time series:
"Length of time series" - Number of observations in the time series (including NAs)
"Number of Missing Values" - Number of missing values in the time series
"Percentage of Missing Values" - Percentage of missing values in the time series
"Stats for Bins" - Number/percentage of missing values for the split into bins
"Longest NA gap" - Longest series of consecutive missing values (NAs in a row) in the time series
"Most frequent gap size" - Most frequent occurring series of missing values in the time series
"Gap size accounting for most NAs" - The series of consecutive missing values that accounts for most missing values overall in the time series
"Overview NA series" - Overview about how often each series of consecutive missing values occurs. Series occurring 0 times are skipped
It is furthermore, important to note, that you are able to choose whether the function returns a list or prints the information only. (see description of parameter "printOnly")
#Example 1: Print stats about the missing data in tsNH4
statsNA(tsNH4)
#Example 2: Return list with stats about the missing data in tsAirgap
statsNA(tsAirgap, printOnly= FALSE)
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