R Dataset / Package quantreg / uis

On this R-data statistics page, you will find information about the uis data set which pertains to UIS Drug Treatment study data. The uis data set is found in the quantreg R package. You can load the uis data set in R by issuing the following command at the console data("uis"). This will load the data into a variable called uis. If R says the uis data set is not found, you can try installing the package by issuing this command install.packages("quantreg") and then attempt to reload the data with the library() command. 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 uis R data set. The size of this file is about 62,061 bytes.

UIS Drug Treatment study data

Description

There are 628 data points in the original data, 575 of which have no missing values.

Variable descriptions:

R project statistics dataset table
Variable Description Codes/Values
ID Identification Code 1 - 628
AGE Age at Enrollment Years
BECK Beck DepressionScore 0.000 - 54.000
HC Heroin/Cocaine Use During 1 = Heroin & Cocaine
3 Months Prior to Admission 2 = Heroin Only
3 = Cocaine Only
4 = Neither Heroin nor Cocaine
IV History of IV Drug Use 1 = Never
2 = Previous
3 = Recent
NDT Number of Prior Drug Treatments 0 - 40
RACE Subject's Race 0 = White
1 = Non-White
TREAT Treatment Randomization 0 = Short
Assignment 1 = Long
SITE Treatment Site 0 = A
1 = B
LEN.T Length of Stay in Treatment Days
(Admission Date to Exit Date)
TIME Time to Drug Relapse Days
(Measured from Admission Date)
CENSOR Event for Treating Lost to 1 = Returned to Drugs
Follow-Up as Returned to Drugs or Lost to Follow-Up
0 = Otherwise
Y log of TIME
ND1 Component of NDT
ND2 Component of NDT
LNDT
FRAC Compliance fraction LEN.T/90 for short trt
LEN.T/180 for long trt
IV3 Recent IV use 1 = Yes
0 = No

Usage

data(uis)

Format

A data frame with dimension 575 by 18.

Source

Table 1.3 of Hosmer,D.W. and Lemeshow, S. (1998)

References

Hosmer,D.W. and Lemeshow, S. (1998) Applied Survival Analysis: Regression Modeling of Time to Event Data, John Wiley and Sons Inc., New York, NY

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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