respace | R Documentation |
Interpolate with even spacing. Can determine on its own the most conservative sampling interval (using the Greatest Common Rational Divisor)
respace( dt, xy = NULL, delta = NULL, tolerance = 8, relative = TRUE, n.warn = 100 )
dt |
depth/time (same length than length/rows of xy) |
xy |
signal (vector or matrix) |
delta |
the new sampling interval. If NULL, uses the Greatest Common Rational Divisor |
tolerance, relative |
parameters for the |
n.warn |
the amount of interpolated points in between the largest interval above which a warning is provided. This warning can be useful to avoid needlessly long outputs, which might make any subsequent computation take too much time. |
a list of interpolated xy and dt values ($xy and $dt), plus a vector of logicals indicating whether each point was part of the initial input or was added by interpolation
set.seed(42) n <- 50 t <- seq_len(n) xy <- (1 + 0.6 * sin(t*0.025)) * sin(t*0.2) + 2 * sin(t*0.025) + rnorm(n, sd = 0.5) inter_dt <- round(runif(length(xy), min = 0.5, max = 1.5), 1) dt <- cumsum(inter_dt) res <- respace(xy = xy, dt = dt) opar <- par("mfrow") par(mfrow = c(1,1)) plot(res$xy, res$dt, type = "l") points(res$xy[res$initial], res$dt[res$initial], pch = 19, col = "green") points(res$xy[!res$initial], res$dt[!res$initial], pch = 19, col = "red", cex = 0.5) par(mfrow = opar)
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