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I trained a LASSO model using R library "glmnet". The training ran successfully. I wanted to create a dataframe using coefficients' name and their value. But the data.frame() function is throwing an error: R: cannot coerce class ‘structure("dgCMatrix", package = "Matrix")’ to a data.frame

How can I fix this error?

cv_model <- cv.glmnet(Xtr, ytr, alpha=1, parallel = TRUE, family = "gaussian", weights=weights)

best_lambda <- cv_model$lambda.min

model <- glmnet(Xtr, ytr, alpha = 1, lambda = best_lambda, family = "gaussian", weights=weights)

myCoefs <- coef(model)

fnames <- append(features.names, "None", 0) # since the first coef is intercept, add None at the start of the vector

myResults <- data.frame(features = myCoefs@Dimnames[[1]], 

featuresName = fnames, 

coefs = myCoefs)

1 Answer

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by (35.8k points)

It seems that the values you are trying to add to the dataframe are of class "structure".

You need to use indices to select elements from myCoefs@Dimnames[[1]].

Make the highlighted changes to your code and it should fix the error.

sze = length(myCoefs)
myResults <- data.frame(features = myCoefs@Dimnames[[1]][1:sze],
                        featuresName = fnames[1:sze],
                        coefs = myCoefs[1:sze])

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