measurement_autolevel | R Documentation |

The generic function `measurement_autolevel`

changes the measurement
levels of "item" objects to "nominal" or "ordinal", if
the proportion of its values that have labels is above a certain
threshold.

```
measurement_autolevel(x, ...)
## S4 method for signature 'ANY'
measurement_autolevel(x, ...) # Returns its argument as is
## S4 method for signature 'item.vector'
measurement_autolevel(x,
to=getOption("measurement.adapt.default","nominal"),
threshold=getOption("measurement.adapt.threshold",.75),
...)
## S4 method for signature 'data.set'
measurement_autolevel(x,
to=getOption("measurement.adapt.default","nominal"),
threshold=getOption("measurement.adapt.threshold",.75),
except=NULL,
only=NULL,
...)
```

`x` |
an object from class "item.vector" or "data.set". |

`to` |
a character vector, the target measurement level |

`threshold` |
the proportion of values, if reached the target measurement level is set |

`except` |
a vector with variable names, either as symbols
(without quotation marks) or character strings (with quotation
markes), the variables in the data set that are not to be
changed by |

`only` |
a vector with variable names, either as symbols
(without quotation marks) or character strings (with quotation
markes), the variables in the data set that are to be
changed by |

`...` |
other arguments, currently ignored. |

```
exvect <- as.item(rep(1:2,5))
labels(exvect) <- c(a=1,b=2)
codebook(exvect)
codebook(measurement_autolevel(exvect))
avect <- as.item(sample(1:3,16,replace=TRUE))
labels(avect) <- c(a=1,b=2,c=3)
bvect <- as.item(sample(1:4,16,replace=TRUE))
labels(bvect) <- c(A=1,B=2,C=3,D=4)
ds <- data.set(a=avect,b=bvect)
codebook(ds)
codebook(measurement_autolevel(ds))
codebook(measurement_autolevel(ds,except=c(a,b)))
codebook(measurement_autolevel(ds,only=a))
```

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