scent: Maze tracing and scents

In fastR: Data sets and utilities for Foundations and Applications of Statistics by R Pruim

Description

Subjects were asked to to complete a pencil and paper maze when they were smelling a floral scent and when they were not.

Usage

data(scent)

Format

A data frame with 21 observations on the following 12 variables.

id

ID number

sex

a factor with levels F andM

smoker

a factor with levels N, Y

opinion

opinion of the odor (indiff, neg, or pos

)

age

age of subject (in years)

first

which treatment was first, scented or unscented

u1

time (in seconds) in first unscented trial

u2

time (in seconds) in second unscented trial

u3

time (in seconds) in third unscented trial

s1

time (in seconds) in first scented trial

s2

time (in seconds) in second scented trial

s3

time (in seconds) in third scented trial

Source

These data are also available at DASL, the data and story library (http://lib.stat.cmu.edu/DASL/).

References

Hirsch, A. R., and Johnston, L. H. "Odors and Learning," Smell \& Taste Treatment and Research Foundation, Chicago.

Examples

data(scent)
summary(scent)

Example output

Loading required package: mosaic
Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: lattice
Loading required package: ggformula
Loading required package: ggplot2

New to ggformula?  Try the tutorials: 
	learnr::run_tutorial("introduction", package = "ggformula")
	learnr::run_tutorial("refining", package = "ggformula")
Loading required package: mosaicData
Loading required package: Matrix

The 'mosaic' package masks several functions from core packages in order to add 
additional features.  The original behavior of these functions should not be affected by this.

Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.

Attaching package: 'mosaic'

The following object is masked from 'package:Matrix':

    mean

The following objects are masked from 'package:dplyr':

    count, do, tally

The following objects are masked from 'package:stats':

    IQR, binom.test, cor, cor.test, cov, fivenum, median, prop.test,
    quantile, sd, t.test, var

The following objects are masked from 'package:base':

    max, mean, min, prod, range, sample, sum

Loading required package: mosaicCalc
Loading required package: mosaicCore

Attaching package: 'mosaicCalc'

The following object is masked from 'package:stats':

    D


Attaching package: 'fastR'

The following object is masked from 'package:graphics':

    panel.smooth

       id     sex    smoker   opinion        age              first   
 Min.   : 1   F:10   N:13   indiff: 4   Min.   :15.00   scented  :10  
 1st Qu.: 6   M:11   Y: 8   neg   : 7   1st Qu.:26.00   unscented:11  
 Median :11                 pos   :10   Median :35.00                 
 Mean   :11                             Mean   :36.57                 
 3rd Qu.:16                             3rd Qu.:43.00                 
 Max.   :21                             Max.   :65.00                 
       u1              u2              u3              s1       
 Min.   :32.80   Min.   :26.80   Min.   :25.70   Min.   :28.30  
 1st Qu.:40.90   1st Qu.:38.00   1st Qu.:37.20   1st Qu.:49.60  
 Median :49.50   Median :46.80   Median :43.20   Median :53.60  
 Mean   :53.92   Mean   :48.94   Mean   :47.18   Mean   :55.53  
 3rd Qu.:60.10   3rd Qu.:57.90   3rd Qu.:58.00   3rd Qu.:67.30  
 Max.   :93.80   Max.   :91.90   Max.   :77.40   Max.   :77.50  
       s2               s3       
 Min.   : 25.10   Min.   :24.80  
 1st Qu.: 36.80   1st Qu.:34.40  
 Median : 44.00   Median :42.90  
 Mean   : 48.31   Mean   :43.32  
 3rd Qu.: 53.40   3rd Qu.:48.40  
 Max.   :126.60   Max.   :64.50  

fastR documentation built on May 2, 2019, 5:53 p.m.