R Under development (unstable) (2024-02-15 r85925 ucrt) -- "Unsuffered Consequences"
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> # source("moninit")
>  library("RCALI")    
> file <- "paysage.data"
> dispf <-  4
> param <-
+ list(input=2,output=3,warn.conv=FALSE, send.and.receive=TRUE,
+      poly=list(c(1,2), c(3,4), c(11,13)))
> 
> #calcul avec RCALI cub
> # -----------------------
> param$method <- "cub"
> resfile <- "paysage.cubres"
> 
> start.run <- Sys.time()
> califlopp(file=file, dispf=dispf, param = param, resfile = resfile)

Number of polygons: 279
-------------------

Parameters:
-----------
verbose: 0
output: 3
scale: 10
maximal dispersion distances for each function: 1000
minimal dispersion distances for each function: 500
(the dispersion is calculated between centroids,
 for distances beyond these values)
method:cubature
function 4: relative precision = 0.001, absolute precision = 0.001
            maximal number of evaluations points fixed to 100000 
mode of triangulation: 0

Polygons  1 (1), 2 (2)
-------------------

Integrated flow for function 4:
 mean: 1.84933 mean/area1: 0.0300216 mean/area2: 0.00770876


Polygons  2 (2), 1 (1)
-------------------

Integrated flow for function 4:
 mean: 4.5137 mean/area1: 0.0188149 mean/area2: 0.0732743


Polygons  3 (3), 4 (4)
-------------------

Integrated flow for function 4:
 mean: 4.46959 mean/area1: 0.0886824 mean/area2: 0.00119288


Polygons  4 (4), 3 (3)
-------------------

Integrated flow for function 4:
 mean: 6.20148 mean/area1: 0.0016551 mean/area2: 0.123045


Polygons  11 (11), 13 (13)
-------------------

Integrated flow for function 4:
 mean: 57.1617 mean/area1: 0.0101757 mean/area2: 0.0105585


Polygons  13 (13), 11 (11)
-------------------

Integrated flow for function 4:
 mean: 132.001 mean/area1: 0.0243823 mean/area2: 0.0234982


Created file: paysage.cubres
> end.run <- Sys.time()
> duration <- end.run - start.run
> # print(duration)
> 
> 
> #calcul avec RCALI grid sur un couple
> # -----------------------
> param$method <- "grid"
> param$poly <- c(1,1)
> param$send.and.receive=FALSE
> resfile <- "paysage.grid1.1res"
> 
> 
> start.run <- Sys.time()
> califlopp(file=file, dispf=dispf, param = param, resfile = resfile)

Number of polygons: 279
-------------------

Parameters:
-----------
verbose: 0
output: 3
scale: 10
maximal dispersion distances for each function: 1000
minimal dispersion distances for each function: 500
(the dispersion is calculated between centroids,
 for distances beyond these values)
method:grid
seed: 1
x-axis step: 1 m. 
y-axis step: 1 m.
number of estimations: 10

Polygons  1 (1), 1 (1)
-------------------

Integrated flow for function 4:
 mean: 15.2493 mean/area1: 0.247553 mean/area2: 0.247553


Created file: paysage.grid1.1res
> end.run <- Sys.time()
> duration <- end.run - start.run
> # print(duration)
> 
> 
> # Charger le fichier de résultats cub
> # ---------------------------------
> #avec la fonction getRes de Rcali
> cat("avec la fonction getRes paysage.cubres de Rcali\n")
avec la fonction getRes paysage.cubres de Rcali
> start.run <- Sys.time()
> dispcub.res <- getRes("paysage.cubres")
Read 60 items
> end.run <- Sys.time()
> duration <- end.run - start.run
> # print(duration)
> 
> #avec un read.table
> cat("avec un read.table\n")
avec un read.table
> start.run <- Sys.time()
> dispcubtab.res <- read.table("paysage.cubres", skip=1)
> end.run <- Sys.time()
> duration <- end.run - start.run
> # print(duration)
> 
> proc.time()
   user  system elapsed 
   0.62    0.14    0.73