r - Limiting interpolation function to NA values -


i trying use na.spline, part of zoo package, replace na values in imported speed data cubic spline interpolated values.

na.spline modifying na values supposed to; however, modifying values equaled 0. 

ex <- data.frame(speed) ex$speed2 <- na.spline(ex$speed)

my data set ~1400 values. have included first ~40 values below. here see original speed values , incorrectly interpolated results in speed 2:

speed       speed2 na          8.639277e-06 0.000000    0.000000e+00 0.000000    0.000000e+00 0.000000    0.000000e+00 0.000000    -1.694066e-21 0.000000    0.000000e+00 0.000000    -2.710505e-20 0.000000    0.000000e+00 0.000000    -4.336809e-19 0.000000    0.000000e+00 0.000000    6.938894e-18 0.000000    0.000000e+00 0.000000    1.110223e-16 2.661698    2.661698e+00 3.107128    3.107128e+00 7.319669    7.319669e+00 10.800864   1.080086e+01 17.855491   1.785549e+01 18.250267   1.825027e+01 28.587002   2.858700e+01 36.405397   3.640540e+01 38.467383   3.846738e+01 38.685956   3.868596e+01 43.917737   4.391774e+01 40.829615   4.082962e+01 43.519173   4.351917e+01 45.597497   4.559750e+01 43.252656   4.325266e+01 45.581646   4.558165e+01 48.258325   4.825832e+01 48.269969   4.826997e+01 50.905045   5.090505e+01 53.258165   5.325817e+01 58.391370   5.839137e+01 59.278440   5.927844e+01 58.720518   5.872052e+01 56.933438   5.693344e+01 62.062116   6.206212e+01 59.860849   5.986085e+01 60.183378   6.018338e+01

has seen similar issue or have alternative method replace na value interpolated data?

internally (which not involve zoo):

y <- c(na, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.661698, 3.107128,  7.319669, 10.800864, 17.855491, 18.250267, 28.587002, 36.405397,  38.467383, 38.685956, 43.917737, 40.829615, 43.519173, 45.597497,  43.252656, 45.581646, 48.258325, 48.269969, 50.905045, 53.258165,  58.39137, 59.27844, 58.720518, 56.933438, 62.062116, 59.860849,  60.183378)  x <- xout <- seq_along(y) na <- is.na(y)  splinefun(x[!na], y[!na])(xout)

giving:

 [1]  8.639280e-06  0.000000e+00  0.000000e+00  0.000000e+00  3.388132e-21  [6]  0.000000e+00 -2.710505e-20  0.000000e+00  4.336809e-19  0.000000e+00 [11]  6.938894e-18  0.000000e+00  0.000000e+00  2.661698e+00  3.107128e+00 [16]  7.319669e+00  1.080086e+01  1.785549e+01  1.825027e+01  2.858700e+01 [21]  3.640540e+01  3.846738e+01  3.868596e+01  4.391774e+01  4.082961e+01 [26]  4.351917e+01  4.559750e+01  4.325266e+01  4.558165e+01  4.825832e+01 [31]  4.826997e+01  5.090505e+01  5.325816e+01  5.839137e+01  5.927844e+01 [36]  5.872052e+01  5.693344e+01  6.206212e+01  5.986085e+01  6.018338e+01

also note 0 out output components corresponding 0 values in input:

na.fill(y != 0, 1) * na.spline(y)

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