inst/doc/qualtrics.R

In egor: Import and Analyse Ego-Centered Network Data

## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----include=FALSE------------------------------------------------------------
qu_data <- read.csv(system.file("qualtrics", "qualtrics_responses.csv", package = "egor")) 

## -----------------------------------------------------------------------------

qu_data <- qu_data[3:nrow(qu_data),]

# Create egoID
qu_data$egoID <- 1:nrow(qu_data)

library(egor)

e1 <- onefile_to_egor(egos = qu_data,
                      ID.vars = list(ego = "egoID"),
                      attr.start.col = "A1Gender", # Name of Variable with the first alter attribute
                      attr.end.col = "X5.5", # Name of variable with last alter attribute
                      max.alters = 5, # Number of maximum alters that were named by participants
                      aa.first.var = "AP1") # Name of first alter-alter variable




## -----------------------------------------------------------------------------
alter_filter <- 
  e1 %>% 
  as_tibble() %>% 
  arrange(.egoID) %>% 
  select(AlterList_1:AlterList_5) %>% 
  mutate(across(.fns = ~. != "")) %>% 
  as.data.frame() %>% 
  tidyr::pivot_longer(cols = everything()) %>% 
  pull(value)

e1 <- 
  e1 %>% 
  activate(alter) %>% 
  filter(alter_filter)

## -----------------------------------------------------------------------------
e1 <- 
  e1 %>% 
  activate(aatie) %>% 
  filter(weight != "")

## -----------------------------------------------------------------------------
    e1
    summary(e1)