| mf_get_breaks {mapsf} | R Documentation |
Get class intervals
Description
A function to classify continuous variables.
Usage
mf_get_breaks(x, nbreaks, breaks, k = 1, central = FALSE, ...)
Arguments
x |
a vector of numeric values. NA and Inf values are not used in the classification. |
nbreaks |
a number of classes |
breaks |
a classification method; one of "fixed", "sd", "equal", "pretty", "quantile", "kmeans", "hclust", "bclust", "fisher", "jenks", "dpih", "q6", "geom", "arith", "em" or "msd" (see Details). |
k |
number of standard deviation for "msd" method (see Details) |
central |
creation of a central class for "msd" method (see Details) |
... |
further arguments
of |
Details
"fixed", "sd", "equal", "pretty", "quantile", "kmeans", "hclust",
"bclust", "fisher", "jenks" and "dpih"
are classIntervals
methods. You may need to pass additional arguments for some of them.
Jenks ("jenks" method) and Fisher ("fisher" method) algorithms are
based on the same principle and give
quite similar results but Fisher is much faster.
The "q6" method uses the following quantile
probabilities: 0, 0.05, 0.275, 0.5, 0.725, 0.95, 1.
The "geom" method is based on a geometric progression along
the variable values, all values must be strictly greater than zero.
The "arith" method is based on an arithmetic progression along
the variable values.
The "em" method is based on nested averages computation.
The "msd" method is based on the mean and the standard deviation
of a numeric vector.
The nbreaks parameter is not relevant, use k and
central instead. k indicates
the extent of each class in share of standard deviation.
If central=TRUE then
the mean value is the center of a class else the mean is a break value.
Value
A numeric vector of breaks
Note
This function is mainly a wrapper
of classIntervals +
"arith", "em", "q6", "geom" and "msd" methods.
See Also
Examples
mtq <- mf_get_mtq()
mf_get_breaks(x = mtq$MED, nbreaks = 6, breaks = "quantile")