Add summary statistics to a CrunchCube
Use addSummaryStat()
to add a summary statistic to a CrunchCube object. If
not otherwise specified, the summary statistic will be mean
and be placed
at the bottom of the cube. You can change those defaults by passing any value
you can use with SummaryStat()
(e.g. position
, categories
, after
).
addSummaryStat(cube, stat = c("mean", "median"), var, margin, ...)
cube |
a CrunchCube to add stats to |
stat |
a character with the summary statistic to include (default: "mean") |
var |
a character with the name of the dimension variable to add the
summary statistic for generally the alias of the variable in Crunch, but
might include Crunch functions like |
margin |
which margin should the summary statistic be applied for (used in the cases of categorical arrays where a variable might contribute more than one margin) |
... |
options to pass to |
a CrunchCube with the summary statistic Insertion added to the transforms of the variable specified
SummaryStat
## Not run: pet_feelings # animals # feelings cats dogs # extremely happy 9 5 # somewhat happy 12 12 # neutral 12 7 # somewhat unhappy 10 10 # extremely unhappy 11 12 # add a mean summary statistic to a CrunchCube addSummaryStat(pet_feelings, stat = "mean", var = "feelings") # animals # feelings cats dogs # extremely happy 9 5 # somewhat happy 12 12 # neutral 12 7 # somewhat unhappy 10 10 # extremely unhappy 11 12 # mean 4.90740740740741 4.34782608695652 # we can also store the CrunchCube for use elsewhere pet_feelings <- addSummaryStat(pet_feelings, stat = "mean", var = "feelings") pet_feelings # animals # feelings cats dogs # extremely happy 9 5 # somewhat happy 12 12 # neutral 12 7 # somewhat unhappy 10 10 # extremely unhappy 11 12 # mean 4.90740740740741 4.34782608695652 # `addSummaryStat` returns a CrunchCube that has had the summary statistic # added to it, so that you can still use the Crunch logic for multiple # response variables, missingness, etc. class(pet_feelings) # [1] "CrunchCube" # attr(,"package") # [1] "crunch" # Since `pet_feelings` is a CrunchCube, although it has similar properties # and behaviors to arrays, it is not a R array: is.array(pet_feelings) # [1] FALSE # cleanup transforms transforms(pet_feelings) <- NULL # add a median summary statistic to a CrunchCube pet_feelings <- addSummaryStat(pet_feelings, stat = "median", var = "feelings") pet_feelings # animals # feelings cats dogs # extremely happy 9 5 # somewhat happy 12 12 # neutral 12 7 # somewhat unhappy 10 10 # extremely unhappy 11 12 # median 5 5 # additionally, if you want a true matrix object from the CrunchCube, rather # than the CrunchCube object itself, `applyTransforms()` will return the # array with the summary statistics (just like subtotals and headings) pet_feelings_array <- applyTransforms(pet_feelings) pet_feelings_array # animals # feelings cats dogs # extremely happy 9 5 # somewhat happy 12 12 # neutral 12 7 # somewhat unhappy 10 10 # extremely unhappy 11 12 # median 5 5 # and we can see that this is an array and no longer a CrunchCube is.array(pet_feelings_array) # [1] TRUE ## End(Not run)
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