1。distmatrix<-dist(ret1,method = "dtw")
2.dtw(a,b, step=symmetric1,window.size=3L,window.type="sakoechiba", keep=T);
在1中计算距离矩阵的时候想用dtw这个方法，但是想改一下dtw默认的选项，哪位大神知道的话，求帮助



# ====================================================================================
# Registering a custom distance with the 'proxy' package and using it
# ====================================================================================

# Normalized asymmetric DTW distance
ndtw <- function(x, y, ...) {
    dtw::dtw(x, y, step.pattern = asymmetric,
             distance.only = TRUE, ...)$normalizedDistance
}

# Registering the function with 'proxy'
if (!pr_DB$entry_exists("nDTW"))
    proxy::pr_DB$set_entry(FUN = ndtw, names=c("nDTW"),
                           loop = TRUE, type = "metric", distance = TRUE,
                           description = "Normalized asymmetric DTW")

# Subset of (original) data for speed
pc.ndtw <- tsclust(series[-1L], k = 4L,
                   distance = "nDTW",
                   seed = 8319,
                   trace = TRUE,
                   args = tsclust_args(dist = list(window.size = 18L)))

# Which cluster would the first series belong to?
# Notice that newdata is provided as a list
predict(pc.ndtw, newdata = series[1L])