Number of births and death in Greece

Description

A data frame containing the number of births and deaths along with their rates from 1932 to 2016.

Usage

BirthDeath

Format

A data frame with 71 observations of 5 columns:

Year

years 1932-2016

Deaths

number of deaths

DeathsRate

number of deaths per 1000 citizen

Births

number of births

BirthRate

number of births per 1000 citizen

Source

The original data are available at Hellenic Statistical Authority

Birth and Deaths before and after 2000

Description

A data frame containing samples with the number of births and deaths before and after 2000.

Usage

BirthDeath2000

Format

A data frame with 30 observations of 3 columns:

deaths

number of deaths

births

number of births

type

factor indicating if the number of births and deaths correspond before 2000 or after 2000

Source

The original data are available at Hellenic Statistical Authority

Bio diesel and RON 95 consumption

Description

A data frame including a sample of bio diesel and RON 95 consumption in Greece.

Usage

DieselbioRon95

Format

A data frame with 24 observations of 5 columns:

region

factor of Greek regions

DieselBio_consumption2006

metric tons of bio-diesel consumption in 2006

DieselBio_consumption2016

metric tons of bio-diesel consumption in 2016

RON95_consumption2006

metric tons of ron 95 consumption in 2006

RON95_consumption2016

metric tons of ron 95 consumption in 2016

Source

The original data are available at Hellenic Statistical Authority

FuelConsumption

Description

A data frame containing the fuel consumption in Greece.

Usage

FuelConsumption

Format

A data frame with 50 observations of 8 columns:

Geographic.area

factor with geographic area of Greece

Regions

factor with regions of Greece

Runits

factor with regional units of Greece

RON95

metric tons of ron 95 consumption

RON98_100

metric tons of ron 98 consumption

DieselBio

metric tons of bio diesel consumption

LPG

metric tons of liquefied petroleum gas consumption

DieselC

metric tons of heating oil consumption

Source

The original data are available at Hellenic Statistical Authority

LaptopRates

Description

A data frame that contains sample ratings of 18 laptops, by three experts.

Usage

LaptopRates

Format

A data frame with 54 observations of 3 columns:

laptop

laptop id, 1-18

expert

a character of expert1,expert2,expert3 values

rating

ratings-5 likert scale, 5 indicates a very good rate

LivLab

Description

A data frame containing a sample with the results of neuropsychological assessment before and after serious game intervention in the living lab, Thess-AHALL (Thessaloniki Active and Healthy Aging Living Lab) of Medical Physics Laboratory of Aristotle University of Thessaloniki.

Usage

LivLab

Format

A data frame with 10 observations of 2 columns:

before

score in a neuropsychological test before serious game intervention

after

score in a neuropsychological test after serious game intervention

Source

<http://aha-livinglabs.com/>

Milk consumption

Description

A data frame containing a sample of the number of cow, sheep and goat milk bottles sold.

Usage

MilkConsumption

Format

A data frame with 13 observations of 3 columns:

Cow.Milk

number of cow milk bottles

Sheep.Milk

number of sheep milk bottles

Goat.Milk

number of goat milk bottles

Source

The original data are available at Hellenic Statistical Authority

Female and male salaries

Description

A sample data frame with female and male salaries of a company.

Usage

Salary_Gender

Format

A data frame with 100 observations of 2 columns:

Male_sal

male salaries

Female_sal

female salaries

Car accident data

Description

A data frame showing the use of seat belt and the driver status after a car accident in Greece.

Usage

accidentsData

Format

A data frame with 383 observations of 2 columns:

record

factor representing the driver status

seatBelt

factor indicating whether the driver wore a seatbelt

Source

The original data are available at Hellenic Statistical Authority

Births in Greece, 1976-1989

Description

A data frame giving the number of births per 1000 people in Greece from 1976 to 1989.

Usage

births

Format

A data frame with 14 observations of 2 columns:

year

years from 1976 to 1989

rate

number of births per 1000 people

Source

The original data are available at Hellenic Statistical Authority

Anova F test plot

Description

Visualise anova F-test to determine whether group means are equal

Usage

ggaov(t, alpha=0.05, colaccept="lightsteelblue1", 
colreject="grey84", colstat="navyblue")

Arguments

Examples

# 21-th day
chick21 <- ChickWeight[ChickWeight$Time == 21,]
chickaov <- aov(weight~Diet, data = chick21)
summary(chickaov)

ggaov(chickaov, colaccept = "grey89", colreject = "black")

Plot for Pearson's Chi-squared Test for Count Data

Description

Visualise chi-squared contingency table tests and goodness-of-fit tests.

Usage

ggchisqtest(t, colaccept="lightsteelblue1", colreject="gray84", 
colstat="navyblue", alpha=0.05)

Arguments

Examples

## Chi-squared test for given probabilities

x <- c(A = 20, B = 15, C = 25)
chisq_test <- chisq.test(x)
chisq_test
ggchisqtest(chisq_test)


x <- c(10, 86, 45, 38, 10)
p <- c(0.10, 0.40, 0.20, 0.20, 0.10)
chisq_test2 <- chisq.test(x, p = p)
chisq_test2
ggchisqtest(chisq_test2)



## Pearson's Chi-squared test

library(MASS)
sex_smoke <- table(survey$Sex, survey$Smoke)
chisq_test3 <- chisq.test(sex_smoke)
chisq_test3
ggchisqtest(chisq_test3)

Plot test for association between paired samples

Description

Visualise test for association between paired samples, using Pearson's product moment correlation coefficient.

Usage

ggcortest(t, colaccept="lightskyblue1", colreject="grey94", colstat="navy")

Arguments

Examples

corr_test <- cor.test(iris$Sepal.Length, iris$Sepal.Width)
corr_test
ggcortest(corr_test)

Plot test of Equal or Given Proportions

Description

Visualise prop.test for testing the null that the proportions (probabilities of success) in several groups are the same, or that they equal certain given values.

Usage

ggproptest(t, alpha=0.05,colaccept="lightsteelblue1", 
colreject="gray84", colstat="navyblue")

Arguments

Examples

x  <- c(5, 8, 12)
y <- c(8, 9, 13)
pr_test <- prop.test(x, y)
pr_test
ggproptest(pr_test)

Student's t-test plot

Description

Visualise one and/or two sample t-tests on vectors of data.

Usage

ggttest(t, colaccept="lightsteelblue1", colreject="grey84", colstat="navyblue")

Arguments

Examples

t_test <- t.test(sleep$extra ~ sleep$group)
t_test
ggttest(t_test)


t_test2 <- t.test(x = 1:10, y = c(7:20)) 
t_test2
ggttest(t_test2)

F test plot

Description

Visualise F test to compare two variances

Usage

ggvartest(t, colaccept = "lightsteelblue1", 
colreject = "gray84", colstat = "navyblue")

Arguments

Examples

x <- rnorm(50, mean = 0, sd = 2)
y <- rnorm(30, mean = 1, sd = 1)
var_test <- var.test(x, y)
var_test
ggvartest(var_test)

m_anova

Description

A data frame with the volume of new stores by category for urban, suburban and rural areas.

Usage

m_anova

Format

A data frame with 54 observations of 4 columns:

Categories

integer representing three categories

UrbanAreas

coding for urban, suburban and rural areas

Month

integer representing three months

Volume

volume in cubic meters

Source

The original data are available at Hellenic Statistical Authority

Profits

Description

A data frame with the profits of some companies for 5 months, constructed for teaching purposes.

Usage

profits_df

Format

A data frame with 26 companies (rows) of 5 months (columns).

Questionnaire Answers

Description

A data frame containing a sample with the answers of students.

Usage

questionnaire

Format

A data frame with 50 observations of 8 columns:

gender

A factor with the student gender

writing.hand

A factor with the writing hand of the students(left, right)

fold.arm

A factor with the top hand when the students fold their arms

pulse

Integer with the pulse rate of students (beats per minute)

exercise

A factor with the frequency the students exercises (none, some,frequently)

smoke

A factor with the frequency the students smokes (heavy, regularly, occasionally, never)

height

Integer with the height of the students (in centimeters)

age

Integer with the age of the students

Random experiment results

Description

A data frame with 128 sample results of a repeated experiment. Success is noted with 1 and failure with 0.

Usage

randexperiment

Format

A data frame with 128 observations of 1 column.