View source: R/gg-miss-upset.R

gg_miss_upset | R Documentation |

Upset plots are a way of visualising common sets, `gg_miss_upset`

shows the
number of missing values for each of the sets of data. The default option
of `gg_miss_upset`

is taken from `UpSetR::upset`

- which is to use up to 5
sets and up to 40 interactions. We also set the ordering to by the
frequency of the intersections. Setting `nsets = 5`

means to look at 5
variables and their combinations. The number of combinations or rather
`intersections`

is controlled by `nintersects`

. If there are 40
intersections, there will be 40 combinations of variables explored. The
number of sets and intersections can be changed by passing arguments `nsets = 10`

to look at 10 sets of variables, and `nintersects = 50`

to look at 50
intersections.

gg_miss_upset(data, order.by = "freq", ...)

`data` |
data.frame |

`order.by` |
(from UpSetR::upset) How the intersections in the matrix should be ordered by. Options include frequency (entered as "freq"), degree, or both in any order. See |

`...` |
arguments to pass to upset plot - see |

a ggplot visualisation of missing data

## Not run: gg_miss_upset(airquality) gg_miss_upset(riskfactors) gg_miss_upset(riskfactors, nsets = 10) gg_miss_upset(riskfactors, nsets = 10, nintersects = 10) ## End(Not run)

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