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I have tried running 'as.factor' on all the variables, so they are different factors, and asking R to display a data summary tells me that they all have 2 or more levels. Error in `contrasts<-` (`*tmp*`, value = contr.funs [1 + isOF [nn]]): contrasts can be applied only to factors with 2 or more levels. I'm using the R caret package to generate a model. I'm using PCA in the pre-process for dimensionality reduction and then trying to generate a logistic regression model. Error in contrasts<- ( *tmp*, value = contr.funs [1 + isOF [nn]]): contrasts can be applied only to factors with 2 or more levels.

Contrasts can be applied only to factors with 2 or more levels

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R says contrasts can only be applied to factors of 2 or more levels. The entire data set contains 48 levels of id, this subset contains 3, yet the error persists. Error in contrasts<- (*tmp*, value = contr.funs [1 + isOF [nn]]) : contrasts can be applied only to factors with 2 or more levels In addition: Warning message: In stattest (bg_chrX_filt, feature = c ("gene", "exon", "intron", : Not enough timepoints (or values of covariate) to fit a spline model with 4 degrees of freedom. Here's the error and warnings are receive: Error in `contrasts<-` (`*tmp*`, value = contr.funs [1 + isOF [nn]]) : contrasts can be applied only to factors with 2 or more levels In addition: Warning message: In model.response (mf, "numeric") : NAs introduced by coercion.

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Error in contrasts<- (*tmp*, value = contr.funs [1 + isOF [nn]]) : contrasts can be applied only to factors with 2 or more levels In addition: Warning message: In stattest (bg_chrX_filt, feature = c ("gene", "exon", "intron", : Not enough timepoints (or values of covariate) to fit a spline model with 4 degrees of freedom. Here's the error and warnings are receive: Error in `contrasts<-` (`*tmp*`, value = contr.funs [1 + isOF [nn]]) : contrasts can be applied only to factors with 2 or more levels In addition: Warning message: In model.response (mf, "numeric") : NAs introduced by coercion. r function csv optimization regression.

Contrasts can be applied only to factors with 2 or more levels

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KEY WORDS: these designs n factors each have p levels, and from the be used to generate the complete set of defining con- trasts. contrast me 2020年9月29日 Error when building regression model using lm ( Error in `contrasts<-`(`*tmp*`… contrasts can be applied only to factors with 2 or more levels). 31 Mar 2019 If this is the case, try to run the WF without that one. Cannot do much more with no data sample or seeing the logreg config. Reply. 0 Likes. 14 Mar 2012 thus uses up only a single degree of freedom (df ) in the model.

Contrasts can be applied only to factors with 2 or more levels

Error in contrastslttmp value contrfuns1 isOFnn contrasts can be applied only to factors with 2 or more levelsIm getting this error 2021-03-25 Since a name is a single value character, it is later coerced to a single-level factor and causes the error. Error in `contrasts<-` (`*tmp*`, value = contr.funs [1 + isOF [nn]]) : contrasts can be applied only to factors with 2 or more levels. Loop through a character vector to use in a function.
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Contrasts can be applied only to factors with 2 or more levels

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This is the output of the type of the variable in the data: Join Stack Overflow to learn, share knowledge, and build your career. Error in contrastslttmp value contrfuns1 isOFnn contrasts can be applied only to factors with 2 or more levelsIm getting this error 2021-03-25 Since a name is a single value character, it is later coerced to a single-level factor and causes the error.


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The reason for this is that one of our predictor variables has only one factor level. Have a look at the column x3. As you can … R - geeglm Error: contrasts can be applied only to factors with 2 or more levels; Although a bit off-topic, it is still useful to know that sometimes a "contrasts error" merely comes from writing a wrong piece of code.