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summarise
2016 Apr 22
2
Unexpected values obtained when reading in data using ncdf and ncdf4
...data values
df.clim <- data.frame(rn=seq(1:length(d.lon)))
for(y in 1:d.size[3]){
df.clim[,1+y] <- as.vector(ncvar_get(data, varid=d.vars[length(d.vars)], start=c(1,1,y), count=c(d.size[1],d.size[2],1)))
names(df.clim)[1+y] <- paste("y",y,sep="") }
tosummarise[,,i] <- as.matrix(df.clim[,-1])
}
The data are temperature or precipitation, across space and time.
For most of the >250 files I have, there are no problems, but for around 8 of these files, I get strange values. The data should be within a relatively narrow range, yet I get values such as...
2016 Apr 22
0
Unexpected values obtained when reading in data using ncdf and ncdf4
...data.frame(rn=seq(1:length(d.lon)))
> for(y in 1:d.size[3]){
> df.clim[,1+y] <- as.vector(ncvar_get(data,
> varid=d.vars[length(d.vars)], start=c(1,1,y),
> count=c(d.size[1],d.size[2],1)))
> names(df.clim)[1+y] <- paste("y",y,sep="") }
> tosummarise[,,i] <- as.matrix(df.clim[,-1])
> }
>
> The data are temperature or precipitation, across space and time.
>
> For most of the >250 files I have, there are no problems, but for around 8
> of these files, I get strange values. The data should be within a
> relatively narrow...