R Dataset / Package wooldridge / wage2
On this Picostat.com statistics page, you will find information about the wage2 data set which pertains to wage2. The wage2 data set is found in the wooldridge R package. Try to load the wage2 data set in R by issuing the following command at the console data("wage2"). This may load the data into a variable called wage2. If R says the wage2 data set is not found, you can try installing the package by issuing this command install.packages("wooldridge") and then attempt to reload the data with library("wooldridge") followed by data("wage2"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing wage2 at the command-line which should display the entire dataset.
If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the wage2 R data set. The size of this file is about 55,593 bytes.
Data loads lazily. Type data(wage2) into the console.
A data.frame with 935 rows and 17 variables:
Dataset imported from https://www.r-project.org.
How To Register With a Username
How To Register With Google Single Sign On (SSO)
How To Login With a Username and Password
How To Login With Google Single Sign On (SSO)
How To Import a Dataset
How To Perform Statistical Analysis with Picostat
How To Use Educational Applications with Picostat
|Picostat Output - Dotplot||Jun 3, 2019|
|Picostat Output - Numerical Summaries||Jun 3, 2019|
|Picostat Output - Median||May 11, 2019|
|Picostat Output - Median||Jan 26, 2019|
|Picostat Output - Arithmetic Mean||Jan 26, 2019|
|Title||Authored on||Content type|
|R Dataset / Package Stat2Data / TwinsLungs||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package DAAG / psid1||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package quantreg / gasprice||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package datasets / nottem||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package DAAG / hills2000||March 9, 2018 - 1:06 PM||Dataset|