2006
DOI: 10.1007/11802167_105
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wear-UCAM: A Toolkit for Mobile User Interactions in Smart Environments

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Cited by 7 publications
(4 citation statements)
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“…We tested the hypotheses using multilevel modeling with random intercepts in R using the lme4 package (version 1.1-21; Bates et al, 2015). The tests of H7 and H8, which proposed moderated associations, were probed using the interactions package (version 1.1.0; Long, 2019). Figures were constructed using ggplot2 (Wickham, 2016), using the v iridis palette.…”
Section: Resultsmentioning
confidence: 99%
“…We tested the hypotheses using multilevel modeling with random intercepts in R using the lme4 package (version 1.1-21; Bates et al, 2015). The tests of H7 and H8, which proposed moderated associations, were probed using the interactions package (version 1.1.0; Long, 2019). Figures were constructed using ggplot2 (Wickham, 2016), using the v iridis palette.…”
Section: Resultsmentioning
confidence: 99%
“…Model assessment used the ‘car’ package (Fox & Weisberg, 2019). Plots were produced using the ‘ggplot2’ (Wickham, 2016) and ‘interactions’ packages (Long, 2019). To check whether explanatory variables (species, body length and colour) were associated with each other before fitting in models, one‐way ANOVA tests were used between all pairs of explanatory variables.…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, demographic data (here gender and age) of the students were collected. For the quantitative data analysis, a Python [70] script was created for data cleaning, while the data analysis was conducted in R version 4.2.2 [71], specifically using parts of the R packages car [72], careless [73], DescTools [74], interactions [75], lsr [76], moments [77], and psych [78].…”
Section: Instrumentsmentioning
confidence: 99%