voice (version 0.4.21)

interp_mc: Interpolate vectors using multicore

Description

Interpolate vectors using multicore

Usage

interp_mc(
  y,
  compact.to,
  drop.zeros = FALSE,
  to.data.frame = FALSE,
  round.off = NULL,
  weight = NULL,
  mc.cores = 1
)

Value

A list of x and y convoluted values with length near to compact.to*length(y).

Arguments

y

A numeric vector, matrix or data frame.

compact.to

Proportion of remaining points after compression. If equals to 1 and keep.zeros = TRUE, the original vector is presented.

drop.zeros

Logical. Drop repeated zeros? Default: FALSE.

to.data.frame

Logical. Convert to data frame? Default: FALSE.

round.off

Number of decimal places of the interpolated y. Default: NULL.

weight

Vector of weights with same length of y. Default: NULL.

mc.cores

The number of cores to mclapply. Default: 1.

See Also

rm0, interp, interp_df

Examples

library(voice)
# Same result of interp() function if x is a vector
interp(1:100, compact.to = 0.1, drop.zeros = TRUE, to.data.frame = FALSE)
interp_mc(1:100, compact.to = 0.1, drop.zeros = TRUE, to.data.frame = FALSE)

interp(1:100, compact.to = 0.1, drop.zeros = TRUE, to.data.frame = TRUE)
interp_mc(1:100, compact.to = 0.1, drop.zeros = TRUE, to.data.frame = TRUE)

# get path to audio file
path2wav <- list.files(system.file('extdata', package = 'wrassp'),
pattern = glob2rx('*.wav'), full.names = TRUE)

# \donttest{
# getting Media data frame
M <- voice::extract_features(dirname(path2wav), mc.cores = 1, verbose = FALSE)

M.num <- M[,-(1:3)]
nrow(M.num)
cm1 <- interp_mc(M.num, compact.to = 0.1, drop.zeros = TRUE,
to.data.frame = FALSE, mc.cores = 1)
names(cm1)
lapply(cm1$f0, length)
# }