Help for package drhur

Type:

Package

Title:

Learning R with Dr. Hu

Version:

1.1.0

Maintainer:

Yue Hu <yuehu@tsinghua.edu.cn>

Description:

Tutarials of R learning easily and happily.

License:

MIT + file LICENSE

VignetteBuilder:

knitr

Encoding:

UTF-8

BugReports:

https://github.com/sammo3182/drhur/issues

LazyData:

true

Depends:

R(≥ 3.6.0), learnr(≥ 0.10.1)

RoxygenNote:

7.2.3

Suggests:

rmarkdown, scales, modelsummary, knitr, tidyverse

NeedsCompilation:

Packaged:

2023-05-16 14:43:42 UTC; amand

Author:

Yue Hu [aut, cre], Xinyi Ye [ctb, trl], Yufei Sun [ctb]

Repository:

CRAN

Date/Publication:

2023-05-17 07:10:06 UTC

Calling for an Exercise in Dr Hu's R Workshop

Description

The function calls a run_tutorial function to open a learnr project. The project list is continually updated along with the R workshop with Dr. Hu.

Usage

drhur(workshop, lang = "cn")

Arguments

workshop

A character vector indicating the name of the workshop to open. See details for the workshop list.

lang

A character vector indicating the display language. The current version includes workshops in English (en) and simple Chinese (cn). The default is Chinese.

Details

The list of workshop available for the current version:

calculate: Doing basic maths with R syntax.
play: Basic data structure in R; inputting, outputting, and creating data.
wrangle: Generalizing (such as sorting and summarizing) and extracting (selecting or adjusting certain columns or rows) data frames.
describe: Skills to describe variable and data.
visualize: Describing variables, exploring patterns, and presenting estimates with visualization tools.

A Random Sample of World Value Survey (Wave 7).

Description

A dataset randomly sampled from the 7th wave of World Value Survey released in 2022.

Usage

wvs7

Format

A data frame with 1330 rows and 24 variables:

country: The country the interview was made.
female: Respondent’s sex is female.
age: Respondent's age.
education: The highest education that the respondent had attained.
religious: Independently of whether the respondent attend religious services or not, did the respondent identify him/herself as a religious person, not a religious person, or an atheist?
marital: Marital status of the respondent.
incomeLevel: The income group the respondent believes his/her household belonged.
equalIncentive: Respondent's view between "Incomes should be made more equal" and "There should be greater incentives for individual effort".
equalFreedom: Most people consider both freedom and equality to be important, but if one had to choose between them, which one would the respondent consider more important?
corruption_state: How many state authorities did the respondent believe were involved in corruption.
corruption_local: How many local authorities did the respondent believe were involved in corruption.
corruption_civil: How many civil service providers did the respondent believe were involved in corruption.
trust_family: Respondent's trust of his/her family.
trust_neighbor: Respondent's trust of his/her neighborhood.
trust_stranger: Respondent's trust of people s/he meet for the first time.
trust_foreigner: Respondent's trust of people of another nationality.
confidence_armedForce: Respondent's confidence in the armed forces.
confidence_policy: Respondent's confidence in the armed forces.
confidence_court: Respondent's confidence in the courts.
confidence_gov: Respondent's confidence in the government.
confidence_parliament: Respondent's confidence in the paliament.
confidence_civil: Respondent's confidence in the civil service.
confidence_parties: Respondent's confidence in the political parties.
confidence_tv: Respondent's confidence in the television.

Source

https://www.worldvaluessurvey.org/WVSDocumentationWV7.jsp

References

Haerpfer, C., Inglehart, R., Moreno, A., Welzel, C., Kizilova, K., Diez-Medrano J., M. Lagos, P. Norris, E. Ponarin & B. Puranen et al. (eds.). 2020. World Values Survey: Round Seven – Country-Pooled Datafile. Madrid, Spain & Vienna, Austria: JD Systems Institute & WVSA Secretariat. doi.org/10.14281/18241.1