Classify Intervals {classInt} | R Documentation |

Given a numeric vector classify into numeric intervals. `classify_intervals()`

is a wrapper of both `classIntervals()`

and `findCols()`

.

```
classify_intervals(var, n, style = "quantile", rtimes = 3, ...,
intervalClosure = c("left", "right"), dataPrecision = NULL,
warnSmallN = TRUE, warnLargeN = TRUE, largeN = 3000L, samp_prop = 0.1,
gr = c("[", "]"), factor = TRUE)
```

`var` |
a continuous numerical variable |

`n` |
number of classes required, if missing, |

`style` |
chosen style: one of "fixed", "sd", "equal", "pretty", "quantile", "kmeans", "hclust", "bclust", "fisher", "jenks", "dpih", "headtails", or "maximum" |

`rtimes` |
number of replications of var to catenate and jitter; may be used with styles "kmeans" or "bclust" in case they have difficulties reaching a classification |

`intervalClosure` |
default “left”, allows specification of whether partition intervals are closed on the left or the right (added by Richard Dunlap). Note that the sense of interval closure is hard-coded as “right”-closed when |

`dataPrecision` |
default NULL, permits rounding of the interval endpoints (added by Richard Dunlap). The data precision used for printing interval values in the legend returned by |

`warnSmallN` |
default TRUE, if FALSE, quietens warning for n >= nobs |

`warnLargeN` |
default TRUE, if FALSE large data handling not used |

`largeN` |
default 3000L, the QGIS sampling threshold; over 3000, the observations presented to "fisher" and "jenks" are either a |

`samp_prop` |
default 0.1, QGIS 10% sampling proportion |

`gr` |
default |

`...` |
arguments to be passed to the functions called in each style |

`factor` |
default "TRUE", if "TRUE" returns cols as a factor with intervals as labels rather than integers |

A vector of same length as `var`

. When `factor = FALSE`

returns a factor where the levels are the interval of the observation.

`classIntervals()`

,
`findCols()`

```
xvar <- c(22361, 9573, 4836, 5309, 10384, 4359, 11016, 4414, 3327, 3408,
17816, 6909, 6936, 7990, 3758, 3569, 21965, 3605, 2181, 1892,
2459, 2934, 6399, 8578, 8537, 4840, 12132, 3734, 4372, 9073,
7508, 5203)
classIntervals(xvar, 5, "sd")
classify_intervals(xvar, 5, "sd", factor = FALSE)
classify_intervals(xvar, 5, "sd", factor = TRUE)
if (!require("spData", quietly=TRUE)) {
message("spData package needed for examples")
run <- FALSE
} else {
run <- TRUE
}
if (run) {
data("jenks71", package = "spData")
x <- jenks71$jenks71
classify_intervals(x, n = 5, style = "fisher")
}
```

[Package *classInt* version 0.4-10 Index]