search for: totss

...) { + Z <- ZZ + best <- z + } + } + centers <- matrix(Z$centers, k) + dimnames(centers) <- list(1L:k, dimnames(x)[[2L]]) + cluster <- Z$c1 + if (!is.null(rn <- rownames(x))) + names(cluster) <- rn + totss <- sum(scale(x, scale = FALSE)^2) + print(Z$iter) + structure(list(cluster = cluster, centers = centers, totss = totss, + withinss = Z$wss, tot.withinss = best, betweenss = totss - + best, size = Z$nc, iter = Z$iter), class = "kmeans") + } > <environm...

...l)* ... [99973] 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 Within cluster sum of squares by cluster: [1] 2.731015e+26 8.785281e+22 4.726557e+26 3.513411e+22 5.092071e+25 (between_SS / total_SS = 98.9 %) Available components: [1] "cluster" "centers" "totss" "withinss" "tot.withinss" [6] "betweenss" "size" *Now how to I save these 5 clusters into 5 separate folders? * Please advise, Thanks. [[alternative HTML version deleted]]

...5 1 5 5 5 5 1 3 1 4 5 5 1 5 5 5 1 [39] 3 1 5 5 3 1 1 1 1 5 5 1 4 1 3 5 5 5 5 5 5 1 Within cluster sum of squares by cluster: [1] 0.6702803 0.0000000 0.2453294 0.1860180 1.3535263 (between_SS / total_SS = 76.8 %) Available components: [1] "cluster" "centers" "totss" "withinss" "tot.withinss" [6] "betweenss" "size" > Q3)I would like to understand which raw data are in which cluster ? Does somebody knows how to access the table of raw data which are in the same cluster ? Thanks for help DZ...

Hallo, I didn´t found any facilities for Halbergs cosinor analysis in R. This analysis is well known in the Chronobiology as the least square approximation of time series using cosine function of known period (in my case of 24hours-period). I tried to write a script but crashed... Can you give me some advices, please!? Thanks Anne Berger Institute of Zoo- and Wildlife Research, Berlin, Germany