* using log directory ‘/data/gannet/ripley/R/packages/tests-gcc-SAN/accelEE.Rcheck’ * using R Under development (unstable) (2026-06-09 r90126) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7) GNU Fortran (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7) * running under: Fedora Linux 42 (Workstation Edition) * using session charset: UTF-8 * current time: 2026-06-10 17:55:01 UTC * using option ‘--no-stop-on-test-error’ * checking for file ‘accelEE/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘accelEE’ version ‘0.3.1’ * package encoding: UTF-8 * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking whether package ‘accelEE’ can be installed ... [15s/15s] OK * checking package directory ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking examples ... [11s/12s] ERROR Running examples in ‘accelEE-Ex.R’ failed The error most likely occurred in: > ### Name: accelEE-function > ### Title: Predict energy expenditure for accelerometry data > ### Aliases: accelEE-function accelEE wrap_2RM crouter15 hildebrand_linear > ### hildebrand_nonlinear montoye sojourn staudenmayer > > ### ** Examples > > > #### Below, note the variations throughout the examples, > #### showing different ways you can customize the output > > > > ## Raw acceleration examples: > > if (isTRUE(requireNamespace("read.gt3x", quietly = TRUE))) { + + f <- system.file("extdata/TAS1H30182785_2019-09-17.gt3x", package = "read.gt3x") + d <- stats::setNames( + read.gt3x::read.gt3x(f, asDataFrame = TRUE, imputeZeroes = TRUE), + c("Timestamp", "Accelerometer_X", "Accelerometer_Y", "Accelerometer_Z") + )[1:30000, ] + + utils::head( + accelEE( + d, "Hibbing 2018", algorithm = 1, + site = c("Left Wrist", "Right Wrist"), + warn_high_low = FALSE, shrink_output = FALSE + ) + ) + + utils::head( + accelEE( + d, c("Hildebrand Linear", "Hildebrand Non-Linear"), age = "adult", + monitor = "ActiGraph", location = "Wrist", warn_high_low = FALSE, + ee_vars = c("METs", "kcal"), output_epoch = "60 sec" + ) + ) + + accelEE( + d, c( + "Montoye 2017", "Staudenmayer Linear", + "Staudenmayer Random Forest" + ), side = "left", ee_vars = "VO2", combine = FALSE + ) + + } nnet.c:98:16: runtime error: load of misaligned address 0x000000000001 for type 'int', which requires 4 byte alignment 0x000000000001: note: pointer points here #0 0x7be617ca1b2b in VR_set_net /tmp/Rtmp7S6JmR/R.INSTALL18a6d816cdfcd1/nnet/src/nnet.c:98 #1 0x0000007777bc in do_dotCode /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:1986 #2 0x0000008d7a82 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8150 #3 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #4 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #5 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #6 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #7 0x000000aa0486 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #8 0x000000aa0486 in applyMethod /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:120 #9 0x000000aa42c0 in dispatchMethod /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:473 #10 0x000000aa6113 in Rf_usemethod.isra.0 /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:509 #11 0x000000aa6e66 in do_usemethod /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:579 #12 0x0000008e4c91 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8170 #13 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #14 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #15 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #16 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #17 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #18 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #19 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #20 0x0000008aa931 in forcePromise /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:956 #21 0x0000008aa931 in getvar /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:5867 #22 0x0000008e78fc in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7880 #23 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #24 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #25 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #26 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #27 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #28 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #29 0x7be617c666f1 in r_eval rlang/eval.h:12 #30 0x7be617c666f1 in rlang_eval_tidy internal/eval-tidy.c:548 #31 0x7be61723228c in dplyr_mask_eval_all_mutate(SEXPREC*, SEXPREC*) /tmp/RtmpujVail/R.INSTALLbe80bda04309/dplyr/src/mutate.cpp:43 #32 0x000000751516 in R_doDotCall /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:757 #33 0x000000755cea in do_dotcall /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:1437 #34 0x000000864bff in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1258 #35 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #36 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #37 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #38 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #39 0x00000087801b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:3001 #40 0x000000864246 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230 #41 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #42 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #43 0x00000088110b in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #44 0x0000008ec585 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8121 #45 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #46 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #47 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #48 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #49 0x000000aa0486 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #50 0x000000aa0486 in applyMethod /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:120 #51 0x000000aa42c0 in dispatchMethod /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:473 #52 0x000000aa6113 in Rf_usemethod.isra.0 /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:509 #53 0x000000aa6e66 in do_usemethod /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:579 #54 0x0000008e4c91 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8170 #55 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #56 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #57 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #58 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #59 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #60 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #61 0x7fe61c67a241 in eval_pipe_lazy /tmp/RtmpClTnct/R.INSTALL3617881124b9d4/magrittr/src/pipe.c:186 #62 0x7fe61c67a241 in magrittr_pipe /tmp/RtmpClTnct/R.INSTALL3617881124b9d4/magrittr/src/pipe.c:105 #63 0x00000073c80a in do_External /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:573 #64 0x0000008d7a82 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8150 #65 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #66 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #67 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #68 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #69 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #70 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #71 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #72 0x000000864ddc in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1185 #73 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #74 0x0000008aa931 in forcePromise /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:956 #75 0x0000008aa931 in getvar /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:5867 #76 0x0000008e78fc in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7880 #77 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #78 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #79 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #80 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #81 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #82 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #83 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #84 0x000000864ddc in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1185 #85 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #86 0x000000864ddc in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1185 #87 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #88 0x000000864ddc in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1185 #89 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #90 0x000000864cb7 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1191 #91 0x000000aa707f in do_usemethod /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:575 #92 0x0000008e4c91 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8170 #93 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #94 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #95 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #96 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #97 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #98 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #99 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #100 0x000000864ddc in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1185 #101 0x000000896074 in Rf_evalList /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:3683 #102 0x00000086460c in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1249 #103 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #104 0x0000008aa931 in forcePromise /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:956 #105 0x0000008aa931 in getvar /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:5867 #106 0x0000008e78fc in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7880 #107 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #108 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #109 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #110 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #111 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #112 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #113 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #114 0x0000008aa931 in forcePromise /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:956 #115 0x0000008aa931 in getvar /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:5867 #116 0x0000008e78fc in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7880 #117 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #118 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #119 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #120 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #121 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #122 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #123 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #124 0x000000864ddc in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1185 #125 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #126 0x000000864cb7 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1191 #127 0x000000aa707f in do_usemethod /data/gannet/ripley/R/svn/R-devel/src/main/objects.c:575 #128 0x0000008e4c91 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8170 #129 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #130 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #131 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #132 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #133 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #134 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #135 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #136 0x000000864ddc in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1185 #137 0x000000896074 in Rf_evalList /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:3683 #138 0x00000086460c in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1249 #139 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #140 0x0000008aa931 in forcePromise /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:956 #141 0x0000008aa931 in getvar /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:5867 #142 0x0000008e78fc in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7880 #143 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #144 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #145 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #146 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #147 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #148 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #149 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #150 0x0000008aa931 in forcePromise /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:956 #151 0x0000008aa931 in getvar /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:5867 #152 0x0000008e78fc in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7880 #153 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #154 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #155 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #156 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #157 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #158 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #159 0x7fe61c67a241 in eval_pipe_lazy /tmp/RtmpClTnct/R.INSTALL3617881124b9d4/magrittr/src/pipe.c:186 #160 0x7fe61c67a241 in magrittr_pipe /tmp/RtmpClTnct/R.INSTALL3617881124b9d4/magrittr/src/pipe.c:105 #161 0x00000073c80a in do_External /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:573 #162 0x0000008d7a82 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8150 #163 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #164 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #165 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #166 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #167 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #168 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #169 0x7fe61c67a241 in eval_pipe_lazy /tmp/RtmpClTnct/R.INSTALL3617881124b9d4/magrittr/src/pipe.c:186 #170 0x7fe61c67a241 in magrittr_pipe /tmp/RtmpClTnct/R.INSTALL3617881124b9d4/magrittr/src/pipe.c:105 #171 0x00000073c80a in do_External /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:573 #172 0x0000008d7a82 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8150 #173 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #174 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #175 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #176 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #177 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #178 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #179 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #180 0x000000864cb7 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1191 #181 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #182 0x000000864cb7 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1191 #183 0x0000005c5714 in do_switch /data/gannet/ripley/R/svn/R-devel/src/main/builtin.c:1077 #184 0x000000881bc5 in R_forceAndCall /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2427 #185 0x00000049a056 in do_lapply /data/gannet/ripley/R/svn/R-devel/src/main/apply.c:75 #186 0x000000a9f276 in do_internal /data/gannet/ripley/R/svn/R-devel/src/main/names.c:1424 #187 0x0000008e4c91 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8170 #188 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #189 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #190 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #191 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #192 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #193 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #194 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #195 0x000000864ddc in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1185 #196 0x000000896074 in Rf_evalList /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:3683 #197 0x00000086460c in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1249 #198 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #199 0x0000008aa931 in forcePromise /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:956 #200 0x0000008aa931 in getvar /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:5867 #201 0x0000008e78fc in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7880 #202 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #203 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #204 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #205 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #206 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #207 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #208 0x000000931851 in forcePromise.part.0.lto_priv.0 /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:976 #209 0x0000008aa931 in forcePromise /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:956 #210 0x0000008aa931 in getvar /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:5867 #211 0x0000008e78fc in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7880 #212 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #213 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #214 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #215 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #216 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #217 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #218 0x7fe61c67a241 in eval_pipe_lazy /tmp/RtmpClTnct/R.INSTALL3617881124b9d4/magrittr/src/pipe.c:186 #219 0x7fe61c67a241 in magrittr_pipe /tmp/RtmpClTnct/R.INSTALL3617881124b9d4/magrittr/src/pipe.c:105 #220 0x00000073c80a in do_External /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:573 #221 0x0000008d7a82 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8150 #222 0x0000008c4ce3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7533 #223 0x00000086376a in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167 #224 0x00000087baaa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2398 #225 0x00000087fa5d in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2314 #226 0x000000863e18 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2333 #227 0x000000863e18 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278 #228 0x00000087801b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:3001 #229 0x000000864246 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230 #230 0x000000864246 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230 #231 0x000000a0c4c8 in Rf_ReplIteration /data/gannet/ripley/R/svn/R-devel/src/main/main.c:264 #232 0x000000a0c4c8 in R_ReplConsole /data/gannet/ripley/R/svn/R-devel/src/main/main.c:317 #233 0x000000a1b7ba in run_Rmainloop /data/gannet/ripley/R/svn/R-devel/src/main/main.c:1235 #234 0x000000a1b852 in Rf_mainloop /data/gannet/ripley/R/svn/R-devel/src/main/main.c:1242 #235 0x00000041309f in main /data/gannet/ripley/R/svn/R-devel/src/main/Rmain.c:29 #236 0x7fe61c812574 in __libc_start_call_main (/lib64/libc.so.6+0x3574) (BuildId: 92b5376d35bb29c098175948cf3e7cbcae3aeae1) #237 0x7fe61c812627 in __libc_start_main@GLIBC_2.2.5 (/lib64/libc.so.6+0x3627) (BuildId: 92b5376d35bb29c098175948cf3e7cbcae3aeae1) #238 0x000000413a84 in _start (/data/gannet/ripley/R/gcc-SAN3/bin/exec/R+0x413a84) (BuildId: 9d98f2d0bfefaa263789e01995a4f23655ed9716) *** caught segfault *** address 0x1, cause 'memory not mapped' Traceback: 1: predict.nnet(model, newdata = d) 2: stats::predict(model, newdata = d) 3: check_values(stats::predict(model, newdata = d), min_mets, max_mets, label, "MET", "MET(s)", warn_high_low) 4: .Call(dplyr_mask_eval_all_mutate, quo, private) 5: eval() 6: mask$eval_all_mutate(quo) 7: mutate_col(dots[[i]], data, mask, new_columns) 8: withCallingHandlers(for (i in seq_along(dots)) { poke_error_context(dots, i, mask = mask) context_poke("column", old_current_column) new_columns <- mutate_col(dots[[i]], data, mask, new_columns)}, error = dplyr_error_handler(dots = dots, mask = mask, bullets = mutate_bullets, error_call = error_call, error_class = "dplyr:::mutate_error"), warning = dplyr_warning_handler(state = warnings_state, mask = mask, error_call = error_call)) 9: mutate_cols(.data, dplyr_quosures(...), by) 10: mutate.data.frame(., `:=`(!!as.name(out_name), check_values(stats::predict(model, newdata = d), min_mets, max_mets, label, "MET", "MET(s)", warn_high_low))) 11: dplyr::mutate(., `:=`(!!as.name(out_name), check_values(stats::predict(model, newdata = d), min_mets, max_mets, label, "MET", "MET(s)", warn_high_low))) 12: d %>% dplyr::mutate(`:=`(!!as.name(out_name), check_values(stats::predict(model, newdata = d), min_mets, max_mets, label, "MET", "MET(s)", warn_high_low))) 13: predict_model(d, out_name, model, label, min_mets, max_mets, warn_high_low) 14: predict_montoye(., "METs_left_wrist", "left", side, EE.Data::montoye_lw, "Montoye Left Wrist", min_mets, max_mets, warn_high_low) 15: predict_montoye(., "METs_right_wrist", "right", side, EE.Data::montoye_rw, "Montoye Right Wrist", min_mets, max_mets, warn_high_low) 16: dplyr::rename_with(., function(x, met_name, tag) { gsub(met_name, "", x) %>% paste0(tag, "_METs_", .)}, dplyr::matches(met_name), met_name = met_name, tag = tag) 17: is.factor(x) 18: gsub("[_.-]+", "_", names(.)) 19: stats::setNames(., gsub("[_.-]+", "_", names(.))) 20: dplyr::mutate(., dplyr::across(dplyr::contains("METs"), ~check_values(.x, minimum = min_mets, maximum = max_mets, label = gsub("[\\._\\-]+", "", toupper(tag)), variable = "MET", units = "MET(s)", warn_high_low = warn_high_low)), dplyr::across(dplyr::contains("METs"), ~.x * met_mlkgmin, .names = "{gsub(\"METs\", \"vo2_mlkgmin\", .col)}"), dplyr::across(dplyr::contains("vo2_mlkgmin"), ~.x/1000 * PAutilities::get_kcal_vo2_conversion(RER, "Lusk"), .names = "{gsub(\"vo2_mlkgmin\", \"kcal_kgmin\", .col)}")) 21: is.factor(x) 22: gsub("_+$", "", names(.)) 23: stats::setNames(., gsub("_+$", "", names(.))) 24: d %>% dplyr::rename_with(function(x, met_name, tag) { gsub(met_name, "", x) %>% paste0(tag, "_METs_", .)}, dplyr::matches(met_name), met_name = met_name, tag = tag) %>% stats::setNames(., gsub("[_.-]+", "_", names(.))) %>% dplyr::mutate(dplyr::across(dplyr::contains("METs"), ~check_values(.x, minimum = min_mets, maximum = max_mets, label = gsub("[\\._\\-]+", "", toupper(tag)), variable = "MET", units = "MET(s)", warn_high_low = warn_high_low)), dplyr::across(dplyr::contains("METs"), ~.x * met_mlkgmin, .names = "{gsub(\"METs\", \"vo2_mlkgmin\", .col)}"), dplyr::across(dplyr::contains("vo2_mlkgmin"), ~.x/1000 * PAutilities::get_kcal_vo2_conversion(RER, "Lusk"), .names = "{gsub(\"vo2_mlkgmin\", \"kcal_kgmin\", .col)}")) %>% stats::setNames(., gsub("_+$", "", names(.))) 25: met_expand(., "METs", "montoye", met_mlkgmin, min_mets, max_mets, RER, warn_high_low) 26: d %>% predict_montoye("METs_left_wrist", "left", side, EE.Data::montoye_lw, "Montoye Left Wrist", min_mets, max_mets, warn_high_low) %>% predict_montoye("METs_right_wrist", "right", side, EE.Data::montoye_rw, "Montoye Right Wrist", min_mets, max_mets, warn_high_low) %>% met_expand("METs", "montoye", met_mlkgmin, min_mets, max_mets, RER, warn_high_low) 27: montoye(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ...) 28: lapply(X = X, FUN = FUN, ...) 29: sapply(., switch, `Crouter 2006` = wrap_2RM(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, method = "Crouter 2006", ..., met_name = "METs", tag = "crouter06"), `Crouter 2010` = wrap_2RM(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, method = "Crouter 2010", ..., met_name = "METs", tag = "crouter10"), `Crouter 2012` = wrap_2RM(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, method = "Crouter 2012", ..., met_name = "METs", tag = "crouter12"), `Crouter 2015` = crouter15(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, shrink_output = shrink_output, verbose = verbose, ...), `Hibbing 2018` = wrap_2RM(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, method = "Hibbing 2018", ..., met_name = "METs", tag = "hibbing18"), `Hildebrand Linear` = hildebrand_linear(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ...), `Hildebrand Non-Linear` = hildebrand_nonlinear(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ...), `Montoye 2017` = montoye(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ...), SIP = sojourn(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, shrink_output = shrink_output, verbose = verbose, method = "SIP", ..., met_name = "METs", tag = "SIP"), `Sojourn 1x` = sojourn(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, shrink_output = shrink_output, verbose = verbose, method = "Sojourn 1x", ..., met_name = "METs", tag = "soj_1x"), `Sojourn 3x` = sojourn(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, shrink_output = shrink_output, verbose = verbose, method = "Sojourn 3x", ..., met_name = "METs", tag = "soj_3x"), `Staudenmayer Linear` = staudenmayer(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ..., select = "METs_lm"), `Staudenmayer Random Forest` = staudenmayer(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ..., select = "METs_rf"), `Staudenmayer Both` = staudenmayer(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ..., select = c("METs_lm", "METs_rf")), stop("Invalid value passed for `method` argument:", " see ?args(accelEE::accelEE) for options", call. = FALSE), simplify = FALSE) 30: is.factor(x) 31: gsub("^Staudenmayer Both$", "Staudenmayer", names(.)) 32: stats::setNames(., gsub("^Staudenmayer Both$", "Staudenmayer", names(.))) 33: method %>% sapply(switch, `Crouter 2006` = wrap_2RM(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, method = "Crouter 2006", ..., met_name = "METs", tag = "crouter06"), `Crouter 2010` = wrap_2RM(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, method = "Crouter 2010", ..., met_name = "METs", tag = "crouter10"), `Crouter 2012` = wrap_2RM(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, method = "Crouter 2012", ..., met_name = "METs", tag = "crouter12"), `Crouter 2015` = crouter15(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, shrink_output = shrink_output, verbose = verbose, ...), `Hibbing 2018` = wrap_2RM(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, method = "Hibbing 2018", ..., met_name = "METs", tag = "hibbing18"), `Hildebrand Linear` = hildebrand_linear(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ...), `Hildebrand Non-Linear` = hildebrand_nonlinear(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ...), `Montoye 2017` = montoye(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ...), SIP = sojourn(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, shrink_output = shrink_output, verbose = verbose, method = "SIP", ..., met_name = "METs", tag = "SIP"), `Sojourn 1x` = sojourn(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, shrink_output = shrink_output, verbose = verbose, method = "Sojourn 1x", ..., met_name = "METs", tag = "soj_1x"), `Sojourn 3x` = sojourn(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, shrink_output = shrink_output, verbose = verbose, method = "Sojourn 3x", ..., met_name = "METs", tag = "soj_3x"), `Staudenmayer Linear` = staudenmayer(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ..., select = "METs_lm"), `Staudenmayer Random Forest` = staudenmayer(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ..., select = "METs_rf"), `Staudenmayer Both` = staudenmayer(d, time_var, output_epoch, warn_high_low = warn_high_low, met_mlkgmin = met_mlkgmin, RER = RER, feature_calc = feature_calc, shrink_output = shrink_output, verbose = verbose, ..., select = c("METs_lm", "METs_rf")), stop("Invalid value passed for `method` argument:", " see ?args(accelEE::accelEE) for options", call. = FALSE), simplify = FALSE) %>% stats::setNames(., gsub("^Staudenmayer Both$", "Staudenmayer", names(.))) 34: accelEE(d, c("Montoye 2017", "Staudenmayer Linear", "Staudenmayer Random Forest"), side = "left", ee_vars = "VO2", combine = FALSE) An irrecoverable exception occurred. R is aborting now ... * DONE Status: 1 ERROR