| DSF_Scale | R Documentation |
Make an unscaled data stream into a scaled data stream.
DSF_Scale(dsd = NULL, dim = NULL, center = TRUE, scale = TRUE, n = 100L)
dsd |
A object of class DSD that will be scaled. |
dim |
integer vector or names of dimensions that should be scaled? Default is all. |
center, scale |
logical or a numeric vector of length equal to the number of columns (selected with dim) used for centering/scaling (see function scale). |
n |
The number of points used by |
If center and scale are not vectors with scaling factors, then scale_stream()
estimates the values for centering and scaling (see
scale in base) using n points from the stream and the stream is reset if reset = TRUE and the
DSD object supports resetting.
An object of class DSF_Scale (subclass of DSF and DSD).
DSD_ScaleStream is deprecated. Use DSF_Scale instead.
Michael Hahsler
scale in base
Other DSF:
DSF(),
DSF_Convolve(),
DSF_Downsample(),
DSF_ExponentialMA(),
DSF_FeatureSelection(),
DSF_Func(),
DSF_dplyr()
stream <- DSD_Gaussians(k = 3, d = 2)
get_points(stream, 3)
# scale with manually calculated scaling factors
points <- get_points(stream, n = 100, info = FALSE)
center <- colMeans(points)
scale <- apply(points, MARGIN = 2, sd)
scaledStream <- stream %>% DSF_Scale(dim = c(1L, 2L), center = center, scale = scale)
colMeans(get_points(scaledStream, n = 100, info = FALSE))
apply(get_points(scaledStream, n = 100, info = FALSE), MARGIN = 2, sd)
# let DSF_Scale calculate the scaling factors from the first n points of the stream
scaledStream <- stream %>% DSF_Scale(dim = c(1L, 2L), n = 100)
colMeans(get_points(scaledStream, n = 100, info = FALSE))
apply(get_points(scaledStream, n = 100, info = FALSE), MARGIN = 2, sd)
## scale only X2
scaledStream <- stream %>% DSF_Scale(dim = "X2", n = 100)
colMeans(get_points(scaledStream, n = 100, info = FALSE))
apply(get_points(scaledStream, n = 100, info = FALSE), MARGIN = 2, sd)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.