Example data (pulse, survey)

Data sets

Throughout the course we will use the two data sets described below.
The data sets can be downloaded from the Materials page.

Pulse

Students in an introductory statistics class (MS212 taught by Professor John Eccleston and Dr Richard Wilson at The University of Queensland) participated in a simple experiment. The students measured their own pulse rate. They were then asked to flip a coin. If the coin came up heads, they were to run in place for one minute. Otherwise they sat without movement for one minute. Then everyone measured their pulse again. The pulse rates and other physiological and lifestyle data are given in the data table.

Variable	Explanation
name	Name of a participant
height	Height (cm)
weight	Weight (kg)
age	Age (years)
gender	Sex (male/female)
smokes	Regular smoker? (yes/no)
alcohol	Regular drinker? (yes/no)
exercise	Frequency of exercise (high/moderate/low)
ran	Whether the student ran or sat between the first and second pulse measurements (ran/sat)
pulse1	First pulse measurement (rate per minute)
pulse2	Second pulse measurement (rate per minute)
year	Year of the class (1993 - 1998)

The pulse data set is available in the data folder as comma-delimited text (extension .csv) file pulse.csv.

# note, we keep 'pulse.csv' file in 'data' directory of the project
pulse <- read_csv("data/pulse.csv", show_col_types = FALSE)
pulse

# A tibble: 110 × 13
   id     name      height weight   age gender smokes alcohol exercise ran   pulse1 pulse2  year
   <chr>  <chr>      <dbl>  <dbl> <dbl> <chr>  <chr>  <chr>   <chr>    <chr>  <dbl>  <dbl> <dbl>
 1 1993_A Bonnie       173     57    18 female no     yes     moderate sat       86     88  1993
 2 1993_B Melanie      179     58    19 female no     yes     moderate ran       82    150  1993
 3 1993_C Consuelo     167     62    18 female no     yes     high     ran       96    176  1993
 4 1993_D Travis       195     84    18 male   no     yes     high     sat       71     73  1993
 5 1993_E Lauri        173     64    18 female no     yes     low      sat       90     88  1993
 6 1993_F George       184     74    22 male   no     yes     low      ran       78    141  1993
 7 1993_G Cherry       162     57    20 female no     yes     moderate sat       68     72  1993
 8 1993_H Francesca    169     55    18 female no     yes     moderate sat       71     77  1993
 9 1993_I Sonja        164     56    19 female no     yes     high     sat       68     68  1993
10 1993_J Troy         168     60    23 male   no     yes     moderate ran       88    150  1993
# … with 100 more rows
# ℹ Use `print(n = ...)` to see more rows

Survey

This data frame contains the responses of 233 Statistics I students at the University of Adelaide to a number of questions.
It is a slightly modified version of the survey data from the MASS pacakge.

Variable	Explanation
name	Name of a participant
gender	Sex (male/female)
span1	Span (distance from tip of thumb to tip of little finger of spread hand) of writing hand (cm)
span2	Span of non-writing hand (cm)
hand	Writing hand of student (left/right)
fold	Fold your arms! which is on top? (right/left/neither)
pulse	Pulse measurement (rate per minute)
clap	Clap your hands! which is on top? (right/left/neither)
exercise	Frequency of exercise (freq/some/none)
smokes	How much the student smokes (heavy/regul/occas/never)
height	Height (cm)
m.i	whether the student expressed height in imperial (feet/inches) or metric (centimetres/metres) units. (metric/imperial)
age	Age of the student (years)

The survey data set is available in the data folder as comma-delimited (.csv) text: survey.csv.

# note, we keep 'survey.csv' file in 'data' directory of the project
survey <- read_csv("data/survey.csv", show_col_types = FALSE)
survey

# A tibble: 233 × 13
   name    gender span1 span2 hand  fold    pulse clap    exercise smokes height m.i        age
   <chr>   <chr>  <dbl> <dbl> <chr> <chr>   <dbl> <chr>   <chr>    <chr>   <dbl> <chr>    <dbl>
 1 Alyson  female  18.5  18   right right      92 left    some     never    173  metric    18.2
 2 Todd    male    19.5  20.5 left  right     104 left    none     regul    178. imperial  17.6
 3 Gerald  male    18    13.3 right left       87 neither none     occas     NA  <NA>      16.9
 4 Robert  male    18.8  18.9 right right      NA neither none     never    160  metric    20.3
 5 Dustin  male    20    20   right neither    35 right   some     never    165  metric    23.7
 6 Abby    female  18    17.7 right left       64 right   some     never    173. imperial  21  
 7 Andre   male    17.7  17.7 right left       83 right   freq     never    183. imperial  18.8
 8 Michael female  17    17.3 right right      74 right   freq     never    157  metric    35.8
 9 Edward  male    20    19.5 right right      72 right   some     never    175  metric    19  
10 Carl    male    18.5  18.5 right right      90 right   some     never    167  metric    22.3
# … with 223 more rows
# ℹ Use `print(n = ...)` to see more rows

← Tidyverse library Projects →