merge with remote

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

diff --git a/pkg/tests/testthat/test-computeSynchrones.R b/pkg/tests/testthat/test-computeSynchrones.R
new file mode 100644 (file)
index 0000000..0a13aec
--- /dev/null
+++ b/pkg/tests/testthat/test-computeSynchrones.R
@@ -0,0 +1,37 @@
+context("computeSynchrones")
+
+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] )
+       #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)
+       for (i in seq_len(n))
+               series[,i] <- s[[I(i,K)]] + rnorm(L,sd=0.01)
+
+       getSeries <- function(indices) {
+               indices <- indices[indices <= n]
+               if (length(indices)>0) as.matrix(series[,indices]) else NULL
+       }
+
+       synchrones <- computeSynchrones(cbind(s1,s2,s3),getSeries,n,100,verbose=TRUE)
+
+       expect_equal(dim(synchrones), c(L,K))
+       for (i in 1:K)
+       {
+               # Synchrones are (for each medoid) sums of closest curves.
+               # Here, we expect exactly 100 curves of each kind to be assigned respectively to
+               # synchrone 1, 2 and 3 => division by 100 should be very close to the ref curve
+               expect_equal(synchrones[,i]/100, s[[i]], tolerance=0.01)
+       }
+})