PivotalR (version 0.1.18.5)

coef: Extract model coefficients for Madlib regression objects

Description

Functions to extract the coefficients for regression models fit in Madlib.

Usage

# S3 method for lm.madlib
coef(object, ...)
    # S3 method for lm.madlib.grps
coef(object, ...)
    # S3 method for logregr.madlib
coef(object, ...)
    # S3 method for logregr.madlib.grps
coef(object, ...)

Arguments

object

The regression model object, fit using madlib.lm or madlib.glm.

...

Other arguments, not used.

Value

For ungrouped regressions, a named numeric vector giving the fitted coefficients.

For grouped regressions, a list giving the coefficients for each of the component models.

Details

Extract the fitted coefficients for a linear or logistic regression model, or a grouped list of such models.

See Also

coef.

Examples

# NOT RUN {
 
# }
# NOT RUN {
<!-- %% @test .port Database port number -->
<!-- %% @test .dbname Database name -->
## set up the database connection
## Assume that .port is port number and .dbname is the database name
cid <- db.connect(port = .port, dbname = .dbname, verbose = FALSE)

## create a table
delete("abalone", conn.id = cid)
x <- as.db.data.frame(abalone, "abalone", conn.id = cid, verbose = FALSE)

fit <- madlib.glm(rings < 10 ~ . - id | sex, data = x, family =
"binomial")

coef(fit)

coef(fit[[1]])

db.disconnect(cid, verbose = FALSE)
# }
# NOT RUN {
 
# }