drop enercast submodule; drop Rcpp requirement; fix doc, complete code, fix fix fix

[epclust.git] / epclust / tests / testthat / test-computeSynchrones.R

diff --git a/epclust/tests/testthat/test-computeSynchrones.R b/epclust/tests/testthat/test-computeSynchrones.R
index db139ed..60d885e 100644 (file)
--- a/epclust/tests/testthat/test-computeSynchrones.R
+++ b/epclust/tests/testthat/test-computeSynchrones.R
@@ -4,28 +4,27 @@ test_that("computeSynchrones behave as expected",
 {
        # Generate 300 sinusoïdal series of 3 kinds: all series of indices == 0 mod 3 are the same
        # (plus noise), all series of indices == 1 mod 3 are the same (plus noise) ...
-       n = 300
-       x = seq(0,9.5,0.1)
-       L = length(x) #96 1/4h
-       K = 3
-       s1 = cos(x)
-       s2 = sin(x)
-       s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
+       n <- 300
+       x <- seq(0,9.5,0.1)
+       L <- length(x) #96 1/4h
+       K <- 3
+       s1 <- cos(x)
+       s2 <- sin(x)
+       s3 <- c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
        #sum((s1-s2)^2) == 96
        #sum((s1-s3)^2) == 58
        #sum((s2-s3)^2) == 38
-       s = list(s1, s2, s3)
-       series = matrix(nrow=L, ncol=n)
+       s <- list(s1, s2, s3)
+       series <- matrix(nrow=L, ncol=n)
        for (i in seq_len(n))
-               series[,i] = s[[I(i,K)]] + rnorm(L,sd=0.01)
+               series[,i] <- s[[I(i,K)]] + rnorm(L,sd=0.01)
 
-       getRefSeries = function(indices) {
-               indices = indices[indices <= n]
+       getSeries <- function(indices) {
+               indices <- indices[indices <= n]
                if (length(indices)>0) as.matrix(series[,indices]) else NULL
        }
 
-       synchrones = computeSynchrones(bigmemory::as.big.matrix(cbind(s1,s2,s3)), getRefSeries,
-               n, 100, verbose=TRUE, parll=FALSE)
+       synchrones <- computeSynchrones(cbind(s1,s2,s3),getSeries,n,100,verbose=TRUE,parll=FALSE)
 
        expect_equal(dim(synchrones), c(L,K))
        for (i in 1:K)