MultivariateStats - Factor Analysis - transform/reconstruct not working?

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1

In factor analysis transforming observations into latent variables or reconstructing observations from latent variables seem to be not working? (Factor Analysis — MultivariateStats 0.1.0 documentation)

using MultivariateStats
X = [0.635098  0.548183  0.211851    0.171408  0.877398;
        0.348466  0.498276  0.00646129  0.374103  0.21937;
        0.172254  0.593525  0.319492    0.706334  0.51062;
        0.994453  0.542042  0.155406    0.165663  0.196073]
M = fit(FactorAnalysis, X; maxoutdim=4, method=:em)
x1 = [1,0,0,0]
y1 = transform(M,x1)
ERROR: MethodError: no method matching transform(::FactorAnalysis{Float64}, ::Vector{Int64})
Closest candidates are:
  transform(::Whitening, ::AbstractVecOrMat{T} where T) at /Users/julio/.julia/packages/MultivariateStats/HTpHt/src/whiten.jl:38
  transform(::PCA{T}, ::AbstractVecOrMat{T}) where T<:Real at /Users/julio/.julia/packages/MultivariateStats/HTpHt/src/pca.jl:46
  transform(::PPCA{T}, ::AbstractVecOrMat{T}) where T<:Real at /Users/julio/.julia/packages/MultivariateStats/HTpHt/src/ppca.jl:22
  ...
Stacktrace:
 [1] top-level scope
   @ REPL[5]:1

y2 = [1,0,0,0]
x2 = reconstruct(M, y2)
ERROR: MethodError: no method matching reconstruct(::FactorAnalysis{Float64}, ::Vector{Int64})
Closest candidates are:
  reconstruct(::PCA{T}, ::AbstractVecOrMat{T}) where T<:Real at /Users/julio/.julia/packages/MultivariateStats/HTpHt/src/pca.jl:47
  reconstruct(::PPCA{T}, ::AbstractVecOrMat{T}) where T<:Real at /Users/julio/.julia/packages/MultivariateStats/HTpHt/src/ppca.jl:30
  reconstruct(::KernelPCA{T}, ::AbstractVecOrMat{T}) where T<:Real at /Users/julio/.julia/packages/MultivariateStats/HTpHt/src/kpca.jl:61
  ...
Stacktrace:
 [1] top-level scope
   @ REPL[7]:1
3

Hi @julio.ca2020 ,

the problem is that you’re putting a vector of integers into transform(), but it wants a vector of floats.

(note that this is actually what the error says: transform() is not implemented for Vector{Int64})

if you do

x1 = [1., 0., 0., 0.]

instead, it should work.