| Title: | Datasets and Functions Used in the Book 'Przewodnik po Pakiecie R' | 
| Version: | 0.16.12 | 
| Description: | Data sets and functions used in the polish book "Przewodnik po pakiecie R" (The Hitchhiker's Guide to the R). See more at http://biecek.pl/R. Among others you will find here data about housing prices, cancer patients, running times and many others. | 
| Depends: | R (≥ 3.0.0), PogromcyDanych, PBImisc | 
| License: | GPL-2 | 
| Encoding: | UTF-8 | 
| LazyData: | true | 
| RoxygenNote: | 5.0.1 | 
| NeedsCompilation: | no | 
| Packaged: | 2016-11-29 08:59:01 UTC; pbiecek | 
| Author: | Przemyslaw Biecek [aut, cre] | 
| Maintainer: | Przemyslaw Biecek <przemyslaw.biecek@gmail.com> | 
| Repository: | CRAN | 
| Date/Publication: | 2016-11-29 12:43:44 | 
Auta Dataset
Description
A subset of an auta2012 dataset from the package PogromcyDanych.
Usage
data(auta)
Format
a data.frame with 2400 rows and 8 columns
Details
The subsequent columns describe:
- Marka Brand of the car 
- Model Model of the car 
- Cena Price 
- KM Horse power 
- Pojemnosc Volume of the engine 
- Przebieg Mileage 
- Paliwo Type of fuel 
- Produkcja Year of production 
Examples
library("Przewodnik")
summary(auta)
BRCA Dataset
Description
From The Cancer Genome Atlas dataset, subset for BRCA - BReast CAncer.
Usage
data(brca)
Format
a data.frame with 695 rows and 16 columns
Details
The subsequent columns describe:
- time, death - survival status for patient 
- subtype - cancer subtype 
- p53mut - mutation in p53 
- MDM2, ..., DNAJB12 - expression of different genes 
Examples
library("Przewodnik")
summary(brca)
Crunching of Oncology Data
Description
The subsequent columns describe:
- Wiek age 
- Rozmiar.guza cancer size 
- Wezly.chlonne lymph nodes 
- Nowotwor cancer 
- Receptory.estrogenowe estrogen receptors 
- Receptory.progesteronowe progesteron receptors 
- Niepowodzenia failures 
- Okres.bez.wznowy time of observation 
- VEGF vascular endothelial growth factor 
Usage
data(daneO)
Format
a data.frame with 97 rows and 9 columns
Examples
library("Przewodnik")
summary(daneO)
Example Sociodemographic Data
Description
The subsequent columns describe:
- wiek Age 
- wyksztalcenie Education 
- st.cywilny Martial status 
- plec Sex 
- praca Work status 
- cisnienie.skurczowe Blood pressure 
- cisnienie.rozkurczowe Blood pressure 
Usage
data(daneSoc)
Format
a data.frame with 204 rows and 7 columns
Examples
library("Przewodnik")
summary(daneSoc)
Marathons in Warsaw / Poland
Description
Data from Warsaw marathons 2013 - 2016.
Usage
data(maratony)
Format
a data.frame with 70736 rows and 14 columns
Details
Orlen Maraton Warszawski - Based on https://www.orlenmarathon.pl/ database.
Polmaraton Warszawski - Based on http://pzupolmaratonwarszawski.com/ database.
The subsequent columns describe:
- nazwisko_imie First and Last name 
- nr.startowy Number 
- plec Gender 
- rok Year 
- biegi_uliczne Name of the marathon 
- czas_brutto Gross Time 
- czas_brutto_sec Gross Time in secs 
- czas_netto Net Time 
- czas_netto_sec Net Time in sec 
- grup_wiek Age group 
- kategoria Category 
- kraj_nazwa Country 
- miejsce_kat Place in Category 
- miejsce_open Place in Open 
Prepared by Krzysztof Trajkowski.
Examples
library("Przewodnik")
summary(maratony)
Housing Prices Data
Description
The subsequent columns describe:
- cena price 
- pokoi number of rooms 
- powierzchnia surface 
- dzielnica district 
- typ.budynku house type 
Usage
data(mieszkania)
Format
a data.frame with 200 rows and 5 columns
Examples
library("Przewodnik")
summary(mieszkania)
Mortality Data for Poland
Description
Mortality data for Poland. Based on http://www.mortality.org/ database. The subsequent columns describe:
- Year. Year or range of years (for both period and cohort data) 
- Age. Age group for n-year interval from exact age x to just before exact age x+n, where n=1, 4, 5, or infinity (open age interval) 
- m(x). Central death rate between ages x and x+n 
- q(x). Probability of death between ages x and x+n 
- a(x). Average length of survival between ages x and x+n for persons dying in the interval 
- l(x). Number of survivors at exact age x, assuming l(0) = 100,000 
- d(x). Number of deaths between ages x and x+n 
- L(x). Number of person-years lived between ages x and x+n 
- T(x). Number of person-years remaining after exact age x 
- e(x). Life expectancy at exact age x (in years) 
Usage
data(przezycia)
Format
a data.frame with 11544 rows and 11 columns
Details
Find more at http://www.mortality.org/Public/ExplanatoryNotes.php#CompleteDataSeries
Examples
library("Przewodnik")
summary(przezycia)
School Injuries in Poland
Description
Data about School Injuries in Poland in school years 2012/2013 and 2013/2014. Based on http://www.cie.men.gov.pl/index.php/dane-statystyczne/137.html
Usage
data(szkolne_wypadki)
Format
a data.frame with 20958 rows and 7 columns
Details
The subsequent columns describe:
- wojewodztwo Region 
- szkola Type of school 
- przypadek How heavy was the injury? 
- rok.szkolny school year 
- typ Is is about part of body or about type of injury 
- rodzaj Detailed group 
- liczba Number of injuries 
Prepared by Krzysztof Trajkowski.
Examples
library("Przewodnik")
summary(szkolne_wypadki)
Titanic Dataset
Description
Based on the titanic dataset from titanic package (from kaggle).
Usage
data(titanic)
Format
a data.frame with 891 rows and 6 columns
Details
The subsequent columns describe:
- Survived 1 - survived, 0 - death 
- Pclass class, from 1 to 3 
- Sex sex 
- Age age 
- Fare fare 
- Embarked embarked 
Examples
library("Przewodnik")
summary(titanic)