query: GLM and categorical variable R - remove one category
positive_passages.docid: 6089
positive_passages.text: Can I ignore coefficients for non-significant levels of factors in a linear model?
negative_passages.docid: 147006
negative_passages.text: Consequences of unbalanced subgroups of categorical variables in logistic regression?
negative_passages.docid: 125119
negative_passages.text: Reference level in GLM regression
negative_passages.docid: 109196
negative_passages.text: dispersion in summary.glm()
negative_passages.docid: 38779
negative_passages.text: How does rm -r go about recursively removing? In what order?
negative_passages.docid: 3989
negative_passages.text: Preprocess categorical variables with many values
negative_passages.docid: 103181
negative_passages.text: Input format for response in binomial glm in R
negative_passages.docid: 42578
negative_passages.text: If a factor variable is to be dropped in model selection, should all levels be dropped simultaneously? If so, why?
negative_passages.docid: 25535
negative_passages.text: Categorical Principal Component Analysis - using Count, Continuous, Ordinal variables together
negative_passages.docid: 58090
negative_passages.text: Drop unused factor levels in a subsetted data frame
negative_passages.docid: 104675
negative_passages.text: heatmap-like plot, but for categorical variables
negative_passages.docid: 56874
negative_passages.text: How can I remove all duplicates so that NONE are left in a data frame?
negative_passages.docid: 76906
negative_passages.text: Penalized methods for categorical data: combining levels in a factor
negative_passages.docid: 75715
negative_passages.text: Removing columns in a SpatialPolygonsDataFrame in R?
negative_passages.docid: 66024
negative_passages.text: Output in R, Avoid Writing "[1]"
negative_passages.docid: 122557
negative_passages.text: Can covariates be categorial variables?
negative_passages.docid: 137286
negative_passages.text: stacking columns in data.frame into one column in R