Running into strange errors when using glmnet and generating graphs Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsDo you have to normalize data when building decision trees using R?Finding predictions using biglm without finding errorsWhy does ada (adaboost) in R return different training error graphs and variable importance plots when running the same function multiple times?Using R and Python togetherHow to keep track of assumptions/design choices and avoid errors in complex projectsError while using decompose and stl functions in RHow to deal with an attribute including a lot of character or factor values when using caret package in RSpliting training data into multiple variables using RRunning multiple random forest and combining themImporting Excel format data into R/R Studio and using glmnet package?
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Running into strange errors when using glmnet and generating graphs
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsDo you have to normalize data when building decision trees using R?Finding predictions using biglm without finding errorsWhy does ada (adaboost) in R return different training error graphs and variable importance plots when running the same function multiple times?Using R and Python togetherHow to keep track of assumptions/design choices and avoid errors in complex projectsError while using decompose and stl functions in RHow to deal with an attribute including a lot of character or factor values when using caret package in RSpliting training data into multiple variables using RRunning multiple random forest and combining themImporting Excel format data into R/R Studio and using glmnet package?
0
$begingroup$
I developed a very simple Ridge Regression with glmnet, the R package. When I use the plot.glmnet() function I encounter strange errors:
plot.glmnet(ridge_model, xvar = "lambda", label = TRUE)
Error in if(nr ==1) {: argument is of length zero
This error is related to IF statements and loops. It does not even seem related to the graph. Even when I use this simplest coding that should work according to the documentation
plot.glmnet(ridge_model)
I still get the same error.
Below I am representing a more complete picture of the script I have used:
library(glmnet)
library(Matrix)
library(foreach)
attach(data)
x = as.matrix(data[, c(3,2)])
y = as.matrix(data[, c(1)])
# Setting up the cross validation of a Ridge Regression
set.seed(101)
cv.glmnet(x, y, type.measure = "mse", alpha = 0)
# Plotting the graph of the Lambda values vs. the MSEs. This works just fine
ridge1 <- cv.glmnet(x, y, type.measure = "mse", alpha = 0)
plot.cv.glmnet(ridge1, main = "Log(Lambda) vs MSE")
# Attempting to extract a graph of coefficients.
# Either simple or more complex coding generates same error.
plot.glmnet(ridge1)
plot.glmnet(ridge1, xvar="lambda", label = TRUE)
r regularization plotting ridge-regression
asked Apr 4 at 22:04
SympaSympa
1164
$endgroup$
add a comment |
0
$begingroup$
I developed a very simple Ridge Regression with glmnet, the R package. When I use the plot.glmnet() function I encounter strange errors:
plot.glmnet(ridge_model, xvar = "lambda", label = TRUE)
Error in if(nr ==1) {: argument is of length zero
This error is related to IF statements and loops. It does not even seem related to the graph. Even when I use this simplest coding that should work according to the documentation
plot.glmnet(ridge_model)
I still get the same error.
Below I am representing a more complete picture of the script I have used:
library(glmnet)
library(Matrix)
library(foreach)
attach(data)
x = as.matrix(data[, c(3,2)])
y = as.matrix(data[, c(1)])
# Setting up the cross validation of a Ridge Regression
set.seed(101)
cv.glmnet(x, y, type.measure = "mse", alpha = 0)
# Plotting the graph of the Lambda values vs. the MSEs. This works just fine
ridge1 <- cv.glmnet(x, y, type.measure = "mse", alpha = 0)
plot.cv.glmnet(ridge1, main = "Log(Lambda) vs MSE")
# Attempting to extract a graph of coefficients.
# Either simple or more complex coding generates same error.
plot.glmnet(ridge1)
plot.glmnet(ridge1, xvar="lambda", label = TRUE)
r regularization plotting ridge-regression
asked Apr 4 at 22:04
SympaSympa
1164
$endgroup$
$begingroup$
tryxvar=lambda(i.e. without the quotation marks)
$endgroup$
– I'mAnAccountantIKnowAlotOfMath
Apr 5 at 3:03
$begingroup$
xvar=lambda generates the error: object 'lambda' not found.
$endgroup$
– Sympa
Apr 5 at 18:03
$begingroup$
We're going to need a lot more information on your script to be able to figure this one out. The error is almost certainly due to something "behind the scenes" in plot.glmnet() creating the graph, and seems like an input validation condition where "nr" means "number of rows" or something similar. Can you include some code used to generate ridge_model?
$endgroup$
– Upper_Case
Apr 5 at 19:10
$begingroup$
Is there anyway to share an Excel file that represents the data and an R/R Studio script file? The mentioned files are actually pretty small. But, just sharing the codes in absence of the actual data that is too big to impart in just code rows, the review of this situation is a bit difficult. I would think or hope that the error I have encountered is rather common. But, I don't know that for sure.
$endgroup$
– Sympa
Apr 6 at 0:18
$begingroup$
@Sympa The problem is that the error is not very specific. I've already offered my best guess about what's going on, but that's as far as the information you've posted can take us. The data itself is not very useful, because the error is at least as likely to be due to your R code as it is to be a problem with the underlying data. I'd even say moreso, because the problem seems to be with the ridge_model object, which you were able to generate from your data. In either case, the R script will be vastly more useful than your data set.
$endgroup$
– Upper_Case
Apr 8 at 17:42
add a comment |
0
0
0
$begingroup$
I developed a very simple Ridge Regression with glmnet, the R package. When I use the plot.glmnet() function I encounter strange errors:
plot.glmnet(ridge_model, xvar = "lambda", label = TRUE)
Error in if(nr ==1) {: argument is of length zero
This error is related to IF statements and loops. It does not even seem related to the graph. Even when I use this simplest coding that should work according to the documentation
plot.glmnet(ridge_model)
I still get the same error.
Below I am representing a more complete picture of the script I have used:
library(glmnet)
library(Matrix)
library(foreach)
attach(data)
x = as.matrix(data[, c(3,2)])
y = as.matrix(data[, c(1)])
# Setting up the cross validation of a Ridge Regression
set.seed(101)
cv.glmnet(x, y, type.measure = "mse", alpha = 0)
# Plotting the graph of the Lambda values vs. the MSEs. This works just fine
ridge1 <- cv.glmnet(x, y, type.measure = "mse", alpha = 0)
plot.cv.glmnet(ridge1, main = "Log(Lambda) vs MSE")
# Attempting to extract a graph of coefficients.
# Either simple or more complex coding generates same error.
plot.glmnet(ridge1)
plot.glmnet(ridge1, xvar="lambda", label = TRUE)
r regularization plotting ridge-regression
asked Apr 4 at 22:04
SympaSympa
1164
$endgroup$
I developed a very simple Ridge Regression with glmnet, the R package. When I use the plot.glmnet() function I encounter strange errors:
plot.glmnet(ridge_model, xvar = "lambda", label = TRUE)
Error in if(nr ==1) {: argument is of length zero
This error is related to IF statements and loops. It does not even seem related to the graph. Even when I use this simplest coding that should work according to the documentation
plot.glmnet(ridge_model)
I still get the same error.
Below I am representing a more complete picture of the script I have used:
library(glmnet)
library(Matrix)
library(foreach)
attach(data)
x = as.matrix(data[, c(3,2)])
y = as.matrix(data[, c(1)])
# Setting up the cross validation of a Ridge Regression
set.seed(101)
cv.glmnet(x, y, type.measure = "mse", alpha = 0)
# Plotting the graph of the Lambda values vs. the MSEs. This works just fine
ridge1 <- cv.glmnet(x, y, type.measure = "mse", alpha = 0)
plot.cv.glmnet(ridge1, main = "Log(Lambda) vs MSE")
# Attempting to extract a graph of coefficients.
# Either simple or more complex coding generates same error.
plot.glmnet(ridge1)
plot.glmnet(ridge1, xvar="lambda", label = TRUE)
r regularization plotting ridge-regression
r regularization plotting ridge-regression
asked Apr 4 at 22:04
SympaSympa
1164
asked Apr 4 at 22:04
SympaSympa
1164
edited Apr 12 at 4:07
Sympa
asked Apr 4 at 22:04
SympaSympa
1164
asked Apr 4 at 22:04
SympaSympa
1164
asked Apr 4 at 22:04
SympaSympa
1164
1164
$begingroup$
tryxvar=lambda(i.e. without the quotation marks)
$endgroup$
– I'mAnAccountantIKnowAlotOfMath
Apr 5 at 3:03
$begingroup$
xvar=lambda generates the error: object 'lambda' not found.
$endgroup$
– Sympa
Apr 5 at 18:03
$begingroup$
We're going to need a lot more information on your script to be able to figure this one out. The error is almost certainly due to something "behind the scenes" in plot.glmnet() creating the graph, and seems like an input validation condition where "nr" means "number of rows" or something similar. Can you include some code used to generate ridge_model?
$endgroup$
– Upper_Case
Apr 5 at 19:10
$begingroup$
Is there anyway to share an Excel file that represents the data and an R/R Studio script file? The mentioned files are actually pretty small. But, just sharing the codes in absence of the actual data that is too big to impart in just code rows, the review of this situation is a bit difficult. I would think or hope that the error I have encountered is rather common. But, I don't know that for sure.
$endgroup$
– Sympa
Apr 6 at 0:18
$begingroup$
@Sympa The problem is that the error is not very specific. I've already offered my best guess about what's going on, but that's as far as the information you've posted can take us. The data itself is not very useful, because the error is at least as likely to be due to your R code as it is to be a problem with the underlying data. I'd even say moreso, because the problem seems to be with the ridge_model object, which you were able to generate from your data. In either case, the R script will be vastly more useful than your data set.
$endgroup$
– Upper_Case
Apr 8 at 17:42
add a comment |
$begingroup$
tryxvar=lambda(i.e. without the quotation marks)
$endgroup$
– I'mAnAccountantIKnowAlotOfMath
Apr 5 at 3:03
$begingroup$
xvar=lambda generates the error: object 'lambda' not found.
$endgroup$
– Sympa
Apr 5 at 18:03
$begingroup$
We're going to need a lot more information on your script to be able to figure this one out. The error is almost certainly due to something "behind the scenes" in plot.glmnet() creating the graph, and seems like an input validation condition where "nr" means "number of rows" or something similar. Can you include some code used to generate ridge_model?
$endgroup$
– Upper_Case
Apr 5 at 19:10
$begingroup$
Is there anyway to share an Excel file that represents the data and an R/R Studio script file? The mentioned files are actually pretty small. But, just sharing the codes in absence of the actual data that is too big to impart in just code rows, the review of this situation is a bit difficult. I would think or hope that the error I have encountered is rather common. But, I don't know that for sure.
$endgroup$
– Sympa
Apr 6 at 0:18
$begingroup$
@Sympa The problem is that the error is not very specific. I've already offered my best guess about what's going on, but that's as far as the information you've posted can take us. The data itself is not very useful, because the error is at least as likely to be due to your R code as it is to be a problem with the underlying data. I'd even say moreso, because the problem seems to be with the ridge_model object, which you were able to generate from your data. In either case, the R script will be vastly more useful than your data set.
$endgroup$
– Upper_Case
Apr 8 at 17:42
$begingroup$
try
xvar=lambda (i.e. without the quotation marks)$endgroup$
– I'mAnAccountantIKnowAlotOfMath
Apr 5 at 3:03
$begingroup$
try
xvar=lambda (i.e. without the quotation marks)$endgroup$
– I'mAnAccountantIKnowAlotOfMath
Apr 5 at 3:03
$begingroup$
xvar=lambda generates the error: object 'lambda' not found.
$endgroup$
– Sympa
Apr 5 at 18:03
$begingroup$
xvar=lambda generates the error: object 'lambda' not found.
$endgroup$
– Sympa
Apr 5 at 18:03
$begingroup$
We're going to need a lot more information on your script to be able to figure this one out. The error is almost certainly due to something "behind the scenes" in plot.glmnet() creating the graph, and seems like an input validation condition where "nr" means "number of rows" or something similar. Can you include some code used to generate ridge_model?
$endgroup$
– Upper_Case
Apr 5 at 19:10
$begingroup$
We're going to need a lot more information on your script to be able to figure this one out. The error is almost certainly due to something "behind the scenes" in plot.glmnet() creating the graph, and seems like an input validation condition where "nr" means "number of rows" or something similar. Can you include some code used to generate ridge_model?
$endgroup$
– Upper_Case
Apr 5 at 19:10
$begingroup$
Is there anyway to share an Excel file that represents the data and an R/R Studio script file? The mentioned files are actually pretty small. But, just sharing the codes in absence of the actual data that is too big to impart in just code rows, the review of this situation is a bit difficult. I would think or hope that the error I have encountered is rather common. But, I don't know that for sure.
$endgroup$
– Sympa
Apr 6 at 0:18
$begingroup$
Is there anyway to share an Excel file that represents the data and an R/R Studio script file? The mentioned files are actually pretty small. But, just sharing the codes in absence of the actual data that is too big to impart in just code rows, the review of this situation is a bit difficult. I would think or hope that the error I have encountered is rather common. But, I don't know that for sure.
$endgroup$
– Sympa
Apr 6 at 0:18
$begingroup$
@Sympa The problem is that the error is not very specific. I've already offered my best guess about what's going on, but that's as far as the information you've posted can take us. The data itself is not very useful, because the error is at least as likely to be due to your R code as it is to be a problem with the underlying data. I'd even say moreso, because the problem seems to be with the ridge_model object, which you were able to generate from your data. In either case, the R script will be vastly more useful than your data set.
$endgroup$
– Upper_Case
Apr 8 at 17:42
$begingroup$
@Sympa The problem is that the error is not very specific. I've already offered my best guess about what's going on, but that's as far as the information you've posted can take us. The data itself is not very useful, because the error is at least as likely to be due to your R code as it is to be a problem with the underlying data. I'd even say moreso, because the problem seems to be with the ridge_model object, which you were able to generate from your data. In either case, the R script will be vastly more useful than your data set.
$endgroup$
– Upper_Case
Apr 8 at 17:42
add a comment |
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$begingroup$
try
xvar=lambda(i.e. without the quotation marks)$endgroup$
– I'mAnAccountantIKnowAlotOfMath
Apr 5 at 3:03
$begingroup$
xvar=lambda generates the error: object 'lambda' not found.
$endgroup$
– Sympa
Apr 5 at 18:03
$begingroup$
We're going to need a lot more information on your script to be able to figure this one out. The error is almost certainly due to something "behind the scenes" in plot.glmnet() creating the graph, and seems like an input validation condition where "nr" means "number of rows" or something similar. Can you include some code used to generate ridge_model?
$endgroup$
– Upper_Case
Apr 5 at 19:10
$begingroup$
Is there anyway to share an Excel file that represents the data and an R/R Studio script file? The mentioned files are actually pretty small. But, just sharing the codes in absence of the actual data that is too big to impart in just code rows, the review of this situation is a bit difficult. I would think or hope that the error I have encountered is rather common. But, I don't know that for sure.
$endgroup$
– Sympa
Apr 6 at 0:18
$begingroup$
@Sympa The problem is that the error is not very specific. I've already offered my best guess about what's going on, but that's as far as the information you've posted can take us. The data itself is not very useful, because the error is at least as likely to be due to your R code as it is to be a problem with the underlying data. I'd even say moreso, because the problem seems to be with the ridge_model object, which you were able to generate from your data. In either case, the R script will be vastly more useful than your data set.
$endgroup$
– Upper_Case
Apr 8 at 17:42