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glsm (version 0.0.0.6)

hsbdemo: hsbdemo: School data for testing.

Description

Entering high school students make program choices among general program, vocational program and academic program. Their choice might be modeled using their writing score and their social economic status.The data set contains variables on 200 students. The outcome variable is prog, program type. The predictor variables are social economic status, ses, a three-level categorical variable and writing score, write, a continuous variable.

Usage

hsbdemo

Arguments

Format

A data frame with 200 rows and 17 columns:

Student

Categorical. Student identification code.

id

Categorical. Unique identifier for each student.

gender

Categorical. Student gender: "female" or "male".

ses

Categorical. Socioeconomic status: "low", "middle", "high".

schtyp

Categorical. Type of school: "private" or "public".

# corregido
prog

Categorical. Program of study chosen: 0 = General, 1 = Vocational, 2 = Academic.

read

Continuous. Reading test score.

write

Continuous. Writing test score.

math

Continuous. Math test score.

science

Continuous. Science test score.

socst

Continuous. Social studies test score.

honors

Categorical. Honors enrollment status: "enrolled" or "not enrolled".

awards

Integer. Number of awards received, ranging from 0 to 9.

cid

Categorical. Unspecified score, ranging from 0 to 20.

prog0

Binary. 1 if prog = General, 0 otherwise.

prog1

Binary. 1 if prog = Vocational, 0 otherwise.

prog2

Binary. 1 if prog = Academic, 0 otherwise.