| A |
|
|
| aggregation |
stats::aggregate() |
of vectorlist (Section 42.4), of hyperframe (Section 25.6) |
| aggregate marks-statistics |
aggregate_marks() (Table 35.9) |
of ppp (Section 35.7), of ppplist (Section 36.4), of hyperframe (Section 25.7) |
| append to (existing) marks |
`append_marks<-` (Table 35.11) |
of ppp (Section 35.9), of psp (Section 37.2), of tess (Section 41.2) |
| attribute per element |
attr_ (Table 14.3) |
of anylist (Section 14.4), of hyperframe (Section 25.10) |
| F |
|
|
| function-value, recommended, etc. |
keyval() (Table 19.3) |
of fv (Section 19.2), of fvlist (Section 20.4), of hyperframe (Section 25.14) |
function-value, replace with theoretical values |
.illegal2theo() (Table 19.5), .disrecommend2theo() (Table 19.6) |
of fv (Section 19.5.1), of fvlist (Section 20.5), of hyperframe (Section 25.16) |
| function-value-tables from eligible marks, batch process |
Emark_(), Vmark_(), etc. (Table 35.21) |
of ppp (Section 35.14), of ppplist (Section 36.9), of hyperframe (Section 25.13) |
| G |
|
|
| global envelope test, batch process |
global_envelope_test_() (Table 14.2) |
of anylist (Section 14.3), of hyperframe (Section 25.12) |
group-generic, Math |
methods::Math() (Table 35.2, Table 35.3, Table 36.2) |
of numeric marks in ppp (Section 35.3.1), psp (Section 37.1.1), ppplist (Section 36.5.1) and tess (Section 41.1.1), of fvlist (Section 20.7.1), of hyperframe (Section 55.3.1) |
group-generic, Summary |
methods::Summary() (Table 35.4, Table 35.5, Table 36.3) |
of numeric marks in ppp (Section 35.3.2), psp (Section 37.1.2), ppplist (Section 36.5.2) and tess (Section 41.1.2), of fvlist (Section 20.7.2), of hyperframe (Section 55.3.2) |
| grouped hyper data frame, to create |
as.groupedHyperframe() (Table 17.2) |
from data.frame (Section 17.1), from groupedData (Section 23.1), from hyperframe (Section 25.8) |
| I |
|
|
| interpolation |
approxfun.*(), splinefun.*(), interpSpline_.fv() |
of fv (Section 19.6.1) |
| K |
|
|
| kernel density (Becker, Chambers, and Wilks 1988) estimates |
kerndens() (Table 32.2) |
of numeric vector (Section 32.1), of anylist (Section 14.1), of hyperframe (Section 25.4) |
| kernel density (Becker, Chambers, and Wilks 1988) of numeric marks |
density_marks() (Table 35.6) |
of ppp (Section 35.4), of ppplist (Section 36.2) |
| kernel density (Becker, Chambers, and Wilks 1988) estimates of numeric marks |
kerndens() (Table 32.2) |
of ppp (Section 35.4), of ppplist (Section 36.2), of hyperframe (Section 25.4) |
| \(k\)-means clustering (Hartigan and Wong 1979) |
kmeans.*() |
of ppp (Section 35.11), of ppplist (Section 36.7), of hyperframe (Section 25.17) |
| L |
|
|
| length |
base::length() |
of hyperframe (Section 25.3) |
| M |
|
|
| Q |
|
|
| quantile |
stats::quantile() (Table 35.8) |
of anylist (Section 14.2), of hyperframe (Section 25.5) |
| quantile of numeric marks |
stats::quantile() (Table 35.8) |
of ppp (Section 35.5), of ppplist (Section 36.3), of hyperframe (Section 25.5) |
| R |
|
|
| random re-labelling envelope residual |
rlabelRes() (Table 35.20) |
of ppp (Section 35.13), of ppplist (Section 36.8), of hyperframe (Section 25.12) |
| \(r_\text{max}\), default |
.rmax() (Table 35.13) |
of ppp (Section 35.10), of fv (Section 19.4), of ppplist (Section 36.6), of hyperframe (Section 25.11) |
| \(r_\text{max}\), legal |
|
of fv (Section 19.5) |
| S |
|
|
| smoothing |
loess.*(), ksmooth.*(), smooth.spline.*() |
of fv (Section 19.6.2) |
| split, by \(k\)-means clustering |
base::split() (Table 35.16) |
of ppp (Section 35.11.2), of ppplist (Section 36.7.1), of hyperframe (Section 25.17.2) |
| split (default method) |
base::split.default() |
on anylist (Section 14.5) |
| superimpose |
spatstat.geom::superimpose() |
of hyperframe (Section 25.9) |
| T |
|
|
| Tjøstheim (1978)’s coefficient, pairwise |
pairwise_cor_spatial() (Table 35.17) |
of ppp (Section 35.12), of ppplist (🚧) |
| trapezoidal integration, (cumulative) average vertical height |
vtrapz(), cumvtrapz() (Table 10.1) |
theory (Section 10.2), of numeric vector (Section 32.2), of fv (Section 19.3, Figure 10.9), of fvlist (Section 20.6), of hyperframe (Section 25.15) |
| trapezoidal integration, (cumulative) average vertical height, visualize |
visualize_vtrapz() (Table 10.2) |
gallery (Section 10.3), of numeric vector (Section 32.2), of function (Section 18.1), of fv (Section 19.3, Figure 10.9), of listof (Section 43.1) |