R Under development (unstable) (2024-09-21 r87186 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > library(shinytest2) > library(activAnalyzer) > > test_check("activAnalyzer") Loading required package: shiny frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male You have computed BMR using the following inputs: age = 32 weight = 67 sex = male You have computed BMR using the following inputs: age = 65 weight = 58 sex = female You have computed BMR using the following inputs: age = 65 weight = 58 sex = undefined You have computed BMR using the following inputs: age = 65 weight = 58 sex = intersex You have computed BMR using the following inputs: age = 65 weight = 58 sex = prefer not to say frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 40 weight = 70 sex = male Joining with `by = join_by(date)` frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 40 weight = 70 sex = male Joining with `by = join_by(date)` You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Older adults] weight = 70 sex = male You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Older adults] weight = 70 sex = female You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Older adults] weight = 70 sex = undefined You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Older adults] weight = 70 sex = intersex You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Older adults] weight = 70 sex = prefer not to say You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Adults] weight = 67 sex = male You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Adults] weight = 67 sex = female You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Adults] weight = 67 sex = undefined You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Adults] weight = 67 sex = intersex You have computed METs using the following inputs: equation = Santos-Lozano et al. (2013) [Adults] weight = 67 sex = prefer not to say You have computed METs using the following inputs: equation = Sasaki et al. (2011) [Adults] weight = 70 sex = male You have computed METs using the following inputs: equation = Sasaki et al. (2011) [Adults] weight = 70 sex = female You have computed METs using the following inputs: equation = Sasaki et al. (2011) [Adults] weight = 70 sex = undefined You have computed METs using the following inputs: equation = Sasaki et al. (2011) [Adults] weight = 70 sex = intersex You have computed METs using the following inputs: equation = Sasaki et al. (2011) [Adults] weight = 70 sex = prefer not to say You have computed METs using the following inputs: equation = Freedson et al. (1998) [Adults] weight = 70 sex = male You have computed METs using the following inputs: equation = Freedson et al. (1998) [Adults] weight = 70 sex = female You have computed METs using the following inputs: equation = Freedson et al. (1998) [Adults] weight = 70 sex = undefined You have computed METs using the following inputs: equation = Freedson et al. (1998) [Adults] weight = 70 sex = intersex You have computed METs using the following inputs: equation = Freedson et al. (1998) [Adults] weight = 70 sex = prefer not to say frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male Joining with `by = join_by(date)` Joining with `by = join_by(date)` Joining with `by = join_by(date)` You have computed results with the recap_by_day() function using the following inputs: age = 32 weight = 67 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male Joining with `by = join_by(date)` Joining with `by = join_by(date)` Joining with `by = join_by(date)` You have computed results with the recap_by_day() function using the following inputs: age = 32 weight = 67 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male Joining with `by = join_by(date)` Joining with `by = join_by(date)` Joining with `by = join_by(date)` You have computed results with the recap_by_day() function using the following inputs: age = 32 weight = 67 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male Joining with `by = join_by(date)` Joining with `by = join_by(date)` Joining with `by = join_by(date)` You have computed results with the recap_by_day() function using the following inputs: age = 32 weight = 67 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 40 weight = 70 sex = male Joining with `by = join_by(date)` Joining with `by = join_by(date)` Joining with `by = join_by(date)` You have computed results with the recap_by_day() function using the following inputs: age = 40 weight = 70 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 frame is 90 streamFrame is 30 allowanceFrame is 2 frame is 90 streamFrame is 30 allowanceFrame is 2 frame is 90 streamFrame is 30 allowanceFrame is 2 frame is 90 streamFrame is 30 allowanceFrame is 2 frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 40 weight = 70 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 40 weight = 70 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 40 weight = 70 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 40 weight = 70 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 40 weight = 70 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male Joining with `by = join_by(date)` Joining with `by = join_by(date)` Joining with `by = join_by(date)` You have computed results with the recap_by_day() function using the following inputs: age = 32 weight = 67 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male Joining with `by = join_by(date)` Joining with `by = join_by(date)` Joining with `by = join_by(date)` You have computed results with the recap_by_day() function using the following inputs: age = 32 weight = 67 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male Joining with `by = join_by(date)` Joining with `by = join_by(date)` Joining with `by = join_by(date)` You have computed results with the recap_by_day() function using the following inputs: age = 32 weight = 67 sex = male You have computed BMR using the following inputs: age = 32 weight = 67 sex = male frame is 90 streamFrame is 30 allowanceFrame is 2 You have computed intensity metrics with the mark_intensity() function using the following inputs: axis = vm sed_cutpoint = 200 counts/min mpa_cutpoint = 2690 counts/min vpa_cutpoint = 6167 counts/min equation = Sasaki et al. (2011) [Adults] age = 32 weight = 67 sex = male Joining with `by = join_by(date)` Joining with `by = join_by(date)` Joining with `by = join_by(date)` You have computed results with the recap_by_day() function using the following inputs: age = 32 weight = 67 sex = male You have computed BMR using the following inputs: age = 32 weight = 67 sex = male [ FAIL 0 | WARN 0 | SKIP 1 | PASS 211 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-golem-recommended.R:39:3' [ FAIL 0 | WARN 0 | SKIP 1 | PASS 211 ] > > proc.time() user system elapsed 96.06 2.48 98.50