Table of missingness counts by groups.
missingTable.RdThis functions returns a table with the non-available frequencies from a already build bivariate table.
Value
An object of class 'createTable'. For further details, see 'value' section of createTable help file.
Note
This function returns an object of class 'createTable', and therefore all methods implemented for 'createTable' objects can be applied, except the 'update' method.
All arguments of createTable can be passed throught '...' argument, except 'hide.no' argument which is fixed inside the code and cannot be changed.
This function cannot be applied to stratified tables, i.e. 'rbind.createTable' and 'cbind.createTable'. If stratified missingness table is desired, apply this function first to each table and then use cbind.createTable or/and rbind.createTable functions to combine exactly in the same way as 'createTable' objects. See 'example' section below.
Examples
require(compareGroups)
# load regicor data
data(regicor)
# table of descriptives by recruitment year
res <- compareGroups(year ~ age + sex + smoker + sbp + histhtn +
chol + txchol + bmi + phyact + pcs + death, regicor)
restab <- createTable(res, hide.no = "no")
# missingness table
missingTable(restab,type=1)
#> Warning: the standard deviation is zero
#> Warning: the standard deviation is zero
#>
#>
#> -------- Summary of results by groups of 'year'---------
#>
#>
#> var N p.value method selection
#> 1 age 2294 . categorical ALL
#> 2 sex 2294 . categorical ALL
#> 3 smoker 2294 0.010** categorical ALL
#> 4 sbp 2294 <0.001** categorical ALL
#> 5 histhtn 2294 0.015** categorical ALL
#> 6 chol 2294 <0.001** categorical ALL
#> 7 txchol 2294 <0.001** categorical ALL
#> 8 bmi 2294 0.318 categorical ALL
#> 9 phyact 2294 <0.001** categorical ALL
#> 10 pcs 2294 <0.001** categorical ALL
#> 11 death 2294 0.001** categorical ALL
#> -----
#> Signif. codes: 0 '**' 0.05 '*' 0.1 ' ' 1
#>
#>
#> --------Missingness table by 'year'---------
#>
#> ____________________________________
#> 1995 2000 2005 p.overall
#> N=431 N=786 N=1077
#> ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
#> age 0.00% 0.00% 0.00% .
#> sex 0.00% 0.00% 0.00% .
#> smoker 3.71% 3.56% 1.58% 0.010
#> sbp 0.70% 1.40% 0.00% <0.001
#> histhtn 0.00% 0.00% 0.74% 0.015
#> chol 6.50% 9.03% 0.19% <0.001
#> txchol 0.00% 1.65% 3.90% <0.001
#> bmi 1.86% 1.91% 1.11% 0.318
#> phyact 14.8% 2.80% 0.19% <0.001
#> pcs 7.89% 15.6% 7.71% <0.001
#> death 10.2% 6.11% 5.01% 0.001
#> ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
if (FALSE) { # \dontrun{
# also create the missing table from a compareGroups object
miss <- missingTable(res)
miss
# some methods that works for createTable objects also works for objects
# computed by missTable function.
miss[1:4]
varinfo(miss)
plot(miss)
#... but update methods cannot be applied (this returns an error).
update(miss,type=2)
} # }