wage2: Do education and IQ have an interactive effect in the...
In gragusa/ase: Collection of useful functions for "Applied Statistics and Econometrics"
Description
Usage
Format
Details
Description
A dataset contains data about payroll workers
A dataset contains data about payroll workers
Usage
1
2
3
Format
A data frame with 935 rows and 17 variables
Details
wage. numeric: wages for payroll workers
educ. numeric: years of education
KWW. factor: education levels.
IQ. factor: gender
age. numeric: age of respondent
hours. numeric: hours worked
exper. numeric: experience
wage. numeric: wages for payroll workers
educ. numeric: years of education
KWW. factor: education levels.
IQ. factor: gender
age. numeric: age of respondent
hours. numeric: hours worked
exper. numeric: experience
gragusa/ase documentation built on May 17, 2019, 8:18 a.m.
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Description Usage Format Details
Description
A dataset contains data about payroll workers
A dataset contains data about payroll workers
Usage
1 2 3 |
Format
A data frame with 935 rows and 17 variables
Details
wage. numeric: wages for payroll workers
educ. numeric: years of education
KWW. factor: education levels.
IQ. factor: gender
age. numeric: age of respondent
hours. numeric: hours worked
exper. numeric: experience
wage. numeric: wages for payroll workers
educ. numeric: years of education
KWW. factor: education levels.
IQ. factor: gender
age. numeric: age of respondent
hours. numeric: hours worked
exper. numeric: experience
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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