Library
Module
Module type
Parameter
Class
Class type
bin
represents one of the bins in a 1D histogram. The bin is centered in center
and its mass is count
, half of which is on either side of center
.
bins h
returns the list of bins, sorted by the bin center, comprising histogram h
val num_bins : histogram -> int
num_bins h
returns the size of the histogram h
in terms of the number of bins; equivalent to List.length (bins h)
val max_bins : histogram -> int
max_bins h
returns the maximum number of bins of this histogram; when the number of unique values added to the histogram exceeds this max_bins h
, h
becomes an approximation.
val total_count : histogram -> int
total_count h
returns the number of values added to histogram h
val range : histogram -> (float * float) option
range h
returns the minimum and maximum values seen in the construction of histogram h, or None
if no values have yet been added
val create : int -> histogram
create max_bins
creates a histogram with up to max_bins
bins
add v h
adds a value to v
to histogram h
, returning the updated histogram
addc v c h
adds a value to v
to histogram h
with count c
, returning the updated histogram. It is equivalent to calling add
v h
c
times.
merge h_list max_bins
creates a new histogram from the histograms in h_list
, whose size is no bigger than max_bins
val sum : histogram -> float -> float
sum hist b
returns an estimate of the number of points in the interval [−infinity,b]
. For an estimate to be feasible, b
must be strictly between the left and right bin centers. Otherwise, Not_found
is raised.
val uniform : histogram -> int -> (int * float) list
uniform hist num_intervals
returns estimates of the quantiles of the distribution represented by histogram hist
. The quantiles are associated with the boundaries of num_interval
intervals, in ascending order. For example, uniform hist 4
returns an estimate of the interquartile range, consisting of the 25-th percentile, 50-th percentile (median) and 75-th percentile. (The minimum and maximum of the histogram are seperately available through the function range
. uniform
can return fewer than the desired quantiles in histograms that have extremely dense regions. Raises Empty
if the histogram has not been add
'd any data.
val mean : histogram -> float
mean hist
returns an estimate of the mean of the distribution represented by hist
. Raises Empty
if the histogram has not been add
'd any data.
val mean_stdev : histogram -> float * float
mean_stdev hist
returns estimates of the mean and standard deviation of the distribution represented bh hist
. Raises Empty
if the histogram has not been add
'd any data.