Index of values


A
add [Vz.Stat]
add s v is the statistic s with value v added to the data.
add_flip [Vz.Stat]
add_flip v s is add s v.

C
clamp [Vz.Scale]
clamp s is true if the map of s first clamps values to the scale domain before mapping them (ensures the map returns only values in the range).
count [Vz.Stat]
count s is the integral number of values in the data.

D
div [Vz.Colors]
div a w s b c m h0 h1 () is a function mapping the unit interval [0;1] to colors for a continuous diverging scheme with 0 returning the darkest color of h0, and 1 the darkest color of h1.
div_d [Vz.Colors]
div_d a w s b c m h0 h1 n is like Vz.Colors.div except it returns a discrete diverging scheme with n colors and c defaults to min 0.88 (1.0 - 0.06 *. (11 - ((n / 2) + 1))).
dom [Vz.Scale]
dom s is the (possibly niced) domain of s.
dom_raw [Vz.Scale]
dom s is the unniced domain of s.
dot [Vz.Mark]
dot w is a dot of diameter w.

F
fold [Vz.Stat]
fold f acc is f folded on the the data starting with acc.
fold_ticks [Vz.Scale]
fold_ticks bounds n f acc scale folds f over approximatevely n uniformly spaced values taken in scale's domain using Vz.Nice.step to determine the step value.

H
htick [Vz.Mark]
htick l is a horizontal tick of length l.

L
linear [Vz.Scale]
linear clamp nice (x0, x1) (y0, y1) is the map that linearly transforms x0 on y0 and x1 on y1.
list [Vz.Stat]
list l is the combined statistics of l on the data.

M
map [Vz.Scale]
map s is the mapping function of s.
max [Vz.Stat]
max f is the maximum value of f on the data.
mean [Vz.Stat]
mean nan f is the mean of the values returned by f on the data.
mean_var [Vz.Stat]
mean_var nan pop f is the mean and unbiased sample variance of the values returned by f on the sample data.
min [Vz.Stat]
min f is the minimum value of f on the data.

N
nice [Vz.Scale]
nice s is true if the bounds of s are niced.

O
ordinal [Vz.Scale]
ordinal cmp dom range maps the value domi to the value rangei mod max with max = List.length range - 1.

P
partial_map [Vz.Scale]
partial_map s is like map s except on ordinal scales it returns None on undefined argument.

Q
qual_d [Vz.Colors]
qual_d eps r s b c n is a qualitative scheme with n colors.
qual_fixed [Vz.Colors]
qual_fixed size q is fixed qualitative color scheme q with size colors (defaults to qual_fixed_size q) and alpha component a (defaults to 1).
qual_fixed_size [Vz.Colors]
qual_fixed_size q is the maximal number of colors in qf.

R
range [Vz.Scale]
range s is the range of s.
range [Vz.Stat]
range f is the range of f on the data, equivalent to t2 (min f) (max f).
range_bands [Vz.Scale]
range_d [Vz.Stat]
range_d cmp f is the discrete range of f, the set of values returned by f on the data.
range_pts [Vz.Scale]

S
seq [Vz.Colors]
seq a w s b c h () is a function mapping the unit interval [0;1] to colors with a continuous sequential scheme where 0 is the darkest color and 1 the lightest.
seq_d [Vz.Colors]
seq_d a w s b c h n is like Vz.Colors.seq except it returns a discrete sequential scheme with n colors and c defaults to min 0.88 (0.34 +. 0.06. * n).
square [Vz.Mark]
square w is a square of side w.
step [Vz.Nice]
step n v0 v1 is a nice step size for sampling the directed interval [v0;v1] approximatively n times.
step_ceil [Vz.Nice]
step_ceil step v is the smallest v' such that v <= v' and v' ∈ Q(step).
step_floor [Vz.Nice]
step_floor step v is the greatest v' such that v' <= v and v' ∈ Q(step).
step_fold [Vz.Nice]
step_fold step f acc v0 v1 folds f over set of numbers Q(step) ∩ [v0;v1].
step_inset [Vz.Nice]
step_inset step v0 v1 shrinks the directed interval [v0;v1] to (v0',v1') ∈ Q(step)2 where v0' (resp.
step_outset [Vz.Nice]
step_outset step v0 v1 expands the directed interval [v0;v1] to (v0',v1') ∈ Q(step)2 where v0' (resp.
step_round [Vz.Nice]
step_round step v is either step_floor v or ceil_floor v whichever is the nearest.
sum [Vz.Stat]
sum nan f is the sum of the values returned by f on the data.

T
t2 [Vz.Stat]
t2 s1 s2 is the combined statistics of s1 and s2 on the data.
t3 [Vz.Stat]
t3 s1 s2 s3 is the combined statistics of s1, s2 and s3 on the data.
t4 [Vz.Stat]
t4 s1 s2 s3 s4 is the combined statistics of s1, s2, s3 and s4 on the data.
t5 [Vz.Stat]
t5 s1 s2 s3 s4 s5 is the combined statistics of s1, s2, s3, s4 and s5 on the data.

V
value [Vz.Stat]
value s is the value of statistic s.
vtick [Vz.Mark]
vtick l is a vertical tick of length l.