R reading numbers or NaNs where ncdump sees NAs
I have a netcdf file here, which I read with ncdf4_1.16 and R versions 3.5.0 and 3.5.1 (tried both).
I am reading the variable tsl with var=ncvar_get(nc,"tsl"). tsl is a two dimensional variable with dimensions [3,87648]. Whenever I read the data, the last 10 timesteps in dimension 2 for each level of dimension 1 come out different each time, but are always very small numbers (e.g. 1e-37). When I open the same file with ncdump, it reads those same numbers as NAs, which is what I am expecting these last timesteps to be.
I thought these small numbers might be NaNs so, just in case, I tried var[is.nan(var)] = NA but it didn't work so I guess not. I'm clueless and worried this could happen again, when I think NAs are dealt with but turn out as numbers very close to 0...
So, the short question is: what is happening?
r ncdf4
asked Nov 14 '18 at 12:17
SnowFrogSnowFrog
58521337
add a comment |
I have a netcdf file here, which I read with ncdf4_1.16 and R versions 3.5.0 and 3.5.1 (tried both).
I am reading the variable tsl with var=ncvar_get(nc,"tsl"). tsl is a two dimensional variable with dimensions [3,87648]. Whenever I read the data, the last 10 timesteps in dimension 2 for each level of dimension 1 come out different each time, but are always very small numbers (e.g. 1e-37). When I open the same file with ncdump, it reads those same numbers as NAs, which is what I am expecting these last timesteps to be.
I thought these small numbers might be NaNs so, just in case, I tried var[is.nan(var)] = NA but it didn't work so I guess not. I'm clueless and worried this could happen again, when I think NAs are dealt with but turn out as numbers very close to 0...
So, the short question is: what is happening?
r ncdf4
asked Nov 14 '18 at 12:17
SnowFrogSnowFrog
58521337
add a comment |
I have a netcdf file here, which I read with ncdf4_1.16 and R versions 3.5.0 and 3.5.1 (tried both).
I am reading the variable tsl with var=ncvar_get(nc,"tsl"). tsl is a two dimensional variable with dimensions [3,87648]. Whenever I read the data, the last 10 timesteps in dimension 2 for each level of dimension 1 come out different each time, but are always very small numbers (e.g. 1e-37). When I open the same file with ncdump, it reads those same numbers as NAs, which is what I am expecting these last timesteps to be.
I thought these small numbers might be NaNs so, just in case, I tried var[is.nan(var)] = NA but it didn't work so I guess not. I'm clueless and worried this could happen again, when I think NAs are dealt with but turn out as numbers very close to 0...
So, the short question is: what is happening?
r ncdf4
asked Nov 14 '18 at 12:17
SnowFrogSnowFrog
58521337
I have a netcdf file here, which I read with ncdf4_1.16 and R versions 3.5.0 and 3.5.1 (tried both).
I am reading the variable tsl with var=ncvar_get(nc,"tsl"). tsl is a two dimensional variable with dimensions [3,87648]. Whenever I read the data, the last 10 timesteps in dimension 2 for each level of dimension 1 come out different each time, but are always very small numbers (e.g. 1e-37). When I open the same file with ncdump, it reads those same numbers as NAs, which is what I am expecting these last timesteps to be.
I thought these small numbers might be NaNs so, just in case, I tried var[is.nan(var)] = NA but it didn't work so I guess not. I'm clueless and worried this could happen again, when I think NAs are dealt with but turn out as numbers very close to 0...
So, the short question is: what is happening?
r ncdf4
r ncdf4
asked Nov 14 '18 at 12:17
SnowFrogSnowFrog
58521337
asked Nov 14 '18 at 12:17
SnowFrogSnowFrog
58521337
edited Nov 14 '18 at 13:13
SnowFrog
asked Nov 14 '18 at 12:17
SnowFrogSnowFrog
58521337
asked Nov 14 '18 at 12:17
SnowFrogSnowFrog
58521337
asked Nov 14 '18 at 12:17
SnowFrogSnowFrog
58521337
58521337
add a comment |
add a comment |
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