Importing Excel format data into R/R Studio and using glmnet package?
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I have no problem importing Excel formatted data into R/R Studio and use all other R packages that I use. But, when I want to use the glmnet package to develop a regularization model, I invariably run into the following error (after specifying my regularization model and attempting to run it):
Error in storage.mode(y) <- "double":
(list) object cannot be coerced to type 'double'
Here is what I have already tried to resolve this:
1) De-format the numbers in Excel (no scientific notation, no %, etc.);
2) Did copy-paste-special values several times;
3) At time of importing the spreadsheet, converted every column from "include" to "numeric" type;
4) After importing the data, converting it to a matrix.
But, none of the above eliminated the error
r data regularization excel error-handling
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$begingroup$
I have no problem importing Excel formatted data into R/R Studio and use all other R packages that I use. But, when I want to use the glmnet package to develop a regularization model, I invariably run into the following error (after specifying my regularization model and attempting to run it):
Error in storage.mode(y) <- "double":
(list) object cannot be coerced to type 'double'
Here is what I have already tried to resolve this:
1) De-format the numbers in Excel (no scientific notation, no %, etc.);
2) Did copy-paste-special values several times;
3) At time of importing the spreadsheet, converted every column from "include" to "numeric" type;
4) After importing the data, converting it to a matrix.
But, none of the above eliminated the error
r data regularization excel error-handling
New contributor
$endgroup$
add a comment |
$begingroup$
I have no problem importing Excel formatted data into R/R Studio and use all other R packages that I use. But, when I want to use the glmnet package to develop a regularization model, I invariably run into the following error (after specifying my regularization model and attempting to run it):
Error in storage.mode(y) <- "double":
(list) object cannot be coerced to type 'double'
Here is what I have already tried to resolve this:
1) De-format the numbers in Excel (no scientific notation, no %, etc.);
2) Did copy-paste-special values several times;
3) At time of importing the spreadsheet, converted every column from "include" to "numeric" type;
4) After importing the data, converting it to a matrix.
But, none of the above eliminated the error
r data regularization excel error-handling
New contributor
$endgroup$
I have no problem importing Excel formatted data into R/R Studio and use all other R packages that I use. But, when I want to use the glmnet package to develop a regularization model, I invariably run into the following error (after specifying my regularization model and attempting to run it):
Error in storage.mode(y) <- "double":
(list) object cannot be coerced to type 'double'
Here is what I have already tried to resolve this:
1) De-format the numbers in Excel (no scientific notation, no %, etc.);
2) Did copy-paste-special values several times;
3) At time of importing the spreadsheet, converted every column from "include" to "numeric" type;
4) After importing the data, converting it to a matrix.
But, none of the above eliminated the error
r data regularization excel error-handling
r data regularization excel error-handling
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SympaSympa
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Sympa is a new contributor. Be nice, and check out our Code of Conduct.
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