How to to read missing values in SPSS files? After reading misssing = 0 ;/

[programistawpf]

only 12 values is not missing but I cant to read missings . How to to read missing values? In this sample misssings are at positions 9:11 of this array.

julia> danes=read_sav(savy[j]);
julia> danes.data[1]
1020-element DataValues.DataValueArray{Float64,1}:
 DataValue{Float64}(1.0)
 DataValue{Float64}(1.0)
 DataValue{Float64}(1.0)
 DataValue{Float64}(1.0)
 DataValue{Float64}(12.0)
 DataValue{Float64}(2.0)
 DataValue{Float64}(2.0)
 DataValue{Float64}(2.0)
 DataValue{Float64}()
 DataValue{Float64}()
 DataValue{Float64}()
 ...


julia> danes.data[1].values
1020-element Array{Float64,1}:
  1.0
  1.0
  1.0
  1.0
 12.0
  2.0
  2.0
  2.0
  0.0
  5.0e-324
  0.0
  ...

This data in SPSS file is like this:

1020-element
1.0
1.0
1.0
1.0
12.0
2.0
2.0
2.0
missing
missing
missing
...

Paul

[davidanthoff]

danes.data[1] returns a DataValueArray. You shouldn't directly access its values field, that is an implementation detail. Instead, access individual elements like danes.data[1][1]. That will return a DataValue, and then you can test whether it is a missing value or not with the isna function.

But, broadly speaking, you should really be using StatFiles.jl for this scenario.

[programistawpf]

Big Thanks,
StatFiles.jl using DataFrames and array is to big for me
Do You meand isnan? isna not egzestist in my Julia 0.7. and 1.03

julia> danes.data[1][10]
DataValue{Float64}()
julia> danes.data[1][10]
DataValue{Float64}()
julia> isnan(danes.data[1][10])
false
julia> isna(danes.data[1][10])
ERROR: UndefVarError: isna not defined
Stacktrace:
 [1] top-level scope at none:0
julia> ismissing(danes.data[1][10])
false
julia> isempty(danes.data[1][10])
ERROR: MethodError: no method matching iterate(::DataValues.DataValue{Float64})