HistDat-package |
'HistDat': Summary statistics for histogram/count data |
as.ecdf |
Converts an object to an empirical cumulative density function. This is a generic function. |
as.ecdf-method |
Converts this histogram to an instance of the "ecdf" class, allowing the calculation of cumulative densities, and quantiles |
as.vector-method |
Converts this histogram to a vector. Not recommended if there are many counts as this would result in an incredibly long vector |
c-method |
Concatenate observations into this instance |
HistDat |
The constructor function for the HistDat class. This is the only official way to create an instance of this class. |
HistDat-class |
S4 class for histogram data |
length-method |
Calculates the total number of observations in a histogram dataset |
max-method |
Calculates the largest observation in the histogram dataset |
mean-method |
Calculates the mean value of all observations in the histogram dataset |
median-method |
Calculates the median value of the observations in the histogram dataset |
min-method |
Calculates the smallest observation in the histogram dataset |
quantile-method |
Returns the empirical quantiles of the observations represented by this class |
range-method |
Calculates the range of values of the observations in the histogram dataset |
sd-method |
Calculates the standard deviation of the observations in the histogram dataset |
sort-method |
This is a dummy method so that sort can be applied to HistDat entries However it does nothing, because the values in a HistDat are sorted at the time of creation. |
sub-method |
Index the histogram data |
sum-method |
Calculates the sum of all observations in the histogram dataset |
var-method |
Calculates the variance of observations in the histogram dataset |
[-method |
Index the histogram data |