R/data.R

#' Survey Sus scrofa: response rate
#'
#' A dataset with information about the response rate of the survey
#' @docType data
#' @format A data frame with 5 rows and 7 variables:
#' \describe{
#'   \item{Sector}{Sector: BB, HVV = Hubertus Vereniging Vlaanderen, NP}
#'   \item{Organisatie}{Organisation: Boerenbond, HVV, Natuurpunt}
#'   \item{Provincie}{Province: Antwerpen, Limburg, HVV = unknown}
#'   \item{Invites}{Aantal gecontacteerd}
#'   \item{Refused}{Aantal geweigerd}
#'   \item{Complete}{Aantal compleet ingevuld}
#'   \item{Partial}{Aantal gedeeltelijk ingevuld}
#'   ...
#' }
#' @source \url{https://www.enquetesmaken.com/}
#' @name Qever_collector
#' @usage data(Qever_collector)
NULL

#' Survey Sus scrofa: answers to open questions
#'
#' Information about the response rate of the survey.
#' The dataset consists of three series of questions
#' and a list of background variables
#'
#' Series 1: Q01-Q32 = (perceived) effect of the presence of wild boars, Q33 (open comment)
#' Series 2: Q34-144 = Appropriateness/acceptance of management measures, Q45 (open comment)
#' Series 3: Q46-Q56 = Boars policy in Flanders: themes and agreement with rules/requirements, Q57 (open comment)
#' Series 4: background variables (coordinates, gender, age, commitment)
#'
#' @format A data frame with 810 rows and 16 variables:
#' \describe{
#'   \item{T33, ..., T57}{character variable, free answer to question 33, ..., 57}
#'   \item{Q33, ..., Q57}{length of the answers (number of letters), NA = no anwer (equivalent to length = 0)}
#'   \item{T33}{free remark at the end of series 1 (Q01:Q33)}
#'   \item{T45}{free remark at the end of series 2 (Q35:Q44)}
#'   \item{T57}{free remark at the end of series 3 (Q46:Q56)}
#'   \item{T48}{comment to Q47}
#'   \item{T50}{comment to Q49}
#'   \item{T52}{comment to Q51}
#'   \item{T54}{comment to Q53}
#'   \item{T56}{comment to Q55}
#'   ...
#' }
#' @source \url{https://www.enquetesmaken.com/}
#' @name Qever_freeAnswers
#' @usage data(Qever_freeAnswers)
NULL

#' Survey Sus scrofa: answers to the questionnaire
#'
#'
#' Answers to the questionnaire organised by series, Qxx = numeric variable, Txx = text variable (or factor with text levels)
#'
#' Series 1: Q01-Q32 = (perceived) effect of the presence of wild boars, Q33 (open comment)
#' Series 2: Q34-144 = appropriateness/acceptance of management measures, Q45 (open comment)
#' Series 3: Q46-Q56 = boars policy in Flanders: themes and agreement with rules/requirements, Q57 (open comment)
#' Series 4: background variables (coordinates, gender, age, commitment)
#'
#' @format A data frame with 810 rows and 16 variables:
#' \describe{
#'   \item{S1}{SERIES 1: (perceived) effect of the presence of wild boars}
#'   \item{Q01,Q03,...,Q31}{effect of wild boar presence on various themes; score from 1 (onbestaan) to 5 (very high), 6 = do not know}
#'   \item{Q02,Q04,...,Q32}{evolution of effect wanted in future; score from -4 (strong decrease) to 4 (strong increase), 6 = do not know}
#'   \item{Q33}{Additional free comment}
#'   \item{S2}{SERIES 2: appropriateness/acceptance of management measures}
#'   \item{Q34a-Q34f, Q35a-Q35f, ...}{appropriateness (scale 1-5) of different measures (a-f) in different contexts (Q34, Q35, ..., Q44)}
#'   \item{Q45}{Additional free comment}
#'   \item{S3}{SERIES 3: boars policy in Flanders: themes and agreement with rules/requirements}
#'   \item{Q46a-Q46q}{Importance of 17 themes/contexts (a-q) in a scale of 1 (zeer onbelangrijk) to 5 (zeer belangrijk), 6 (no opinion)}
#'   \item{Q47, Q49, ..., Q55}{agreement with rules in different contexts, in a scale of 1 (helemaal niet akkoord) to 5 (helemaal akkoord), 6 (no opinion)}
#'   \item{Q48, Q50, ..., Q56}{motivation for Q49, Q51, ..., Q55}
#'   \item{Q57}{Additional free comment}
#'   \item{B}{BACKGROUND VARIABLES}
#'   \item{B1}{background: coordinates}
#'   \item{Collector}{Boerenbond Antwerpen, Boerenbond Limburg, HVV, Natuurpunt Antwerpen, Natuurpunt Limburg}
#'   \item{Sector}{BB: 253, HVV: 388, NP: 169}
#'   \item{Organisation}{Boerenbond, HVV, NP}
#'   \item{Province}{Antwerpen: 80, HVV: 388, Limburg: 342}
#'   \item{pSector}{BB_A: 54, BB_L: 199, HVV: 388, NP_A:26 NP_L: 143}
#'   \item{Postcode}{1:1, 2: 119, 3: 524, 5: 3, 6:3}
#'   \item{Email}{originally Q58}
#'   \item{B2}{background: age and gender}
#'   \item{Geboortejaar}{935 - 1994, NA: 166}
#'   \item{Age}{range: 22 - 81, NA: 166}
#'   \item{terAge}{(20,50]:223, (50,60]:224, (60,85]:197, NA: 166}
#'   \item{binAge}{<=50: 223, 50+: 421}
#'   \item{Geslacht}{M: 602, V:42, NA: 166}
#'   \item{B3}{Q58:Q66 = attitude}
#'   \item{Q58a,T58a}{Commitment with nature: 1=Niet:270, 2=Matig:234, 3=Sterk:146, NA=160}
#'   \item{Q58b,T58b}{Commitment with farming: 1=Niet:190, 2=Matig:209, 3=Sterk:251, NA=160}
#'   \item{Q58c,T58c}{Commitment with hunting: 1=Niet:230, 2=Matig:129, 3=Sterk:291, NA=160}
#'   \item{Q59/T59}{How much sympathetic with wild boars? 1=Erg niet:14, 2=Niet:32, 3=Neutraal:101, 4=Begaan:244, 5=Zeer:259, NA:160}
#'   \item{Q60/T60}{How many wild boars? 1=Erg weinig: 110, 2=Weinig:145, 3=Gemiddeld:146, 4=Veel:129, 5=Erg veel:97, Weet niet: 23, NA:160}
#'   \item{Q65/T65}{Contact for follow-up? 1=Ja:461, 2=Nee:349, NA:0}
#'   \item{Q66/T66}{Interest in results? 1=Ja:496, 2=Nee:314, NA:0}
#'   \item{sv_}{auxiliary variables to facilitate selection}
#'   \item{sv_Full}{FALSE: 172, TRUE: 638}
#'   \item{sv_nF}{availability of information (more detail than sv_Full: 1:79 = series 1 only, 2:41 = series 1+2, 3:40 = series 1-3, 4:12 all info, but Age & Gender, 5:638 all info}
#'   \item{sv_Email}{Email given? TRUE:638, FALSE:172}
#'   \item{sv_nQ}{number of series answered? 1:79, 2:41, 3:690}
#'   \item{sv_nB}{availability of background information: -1:120 = none, 0:40 = none (but series 1-3 answered), 1:12 = Age & Gender missing, 2:638 = all info}
#'   ...
#' }
#' @source \url{https://www.enquetesmaken.com/}
#' @name Qever_main
#' @usage data(Qever_main)
NULL
pietervsd/INBOmisc documentation built on Oct. 20, 2017, 5:20 p.m.