March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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The package has lots of functions that are quite useful, such as: na.seadec, which replaces the missing values by an appropriate technique after the seasonality has been removed; na.replace, which can be used to replace the values with a fixed value; or na.random, which replaces the missing values with a random value.
The package offers some nice plots, such as the following one. Both show the distribution of missing values. This is useful for understanding patterns in the not available (NA) values and helps us to investigate what caused them:
biodisel_prod_removed = biodisel_prod biodisel_prod_removed[c(30,60,90,100,109,120),2] <- NA plotNA.distribution(biodisel_prod_removed$biodisel_produccion) plotNA.distributionBar(biodisel_prod_removed$biodisel_produccion) ...
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