R Under development (unstable) (2026-06-09 r90126) -- "Unsuffered Consequences"
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> pkgname <- "accelEE"
> source(file.path(R.home("share"), "R", "examples-header.R"))
> options(warn = 1)
> library('accelEE')
> 
> base::assign(".oldSearch", base::search(), pos = 'CheckExEnv')
> base::assign(".old_wd", base::getwd(), pos = 'CheckExEnv')
> cleanEx()
> nameEx("accelEE-function")
> ### * accelEE-function
> 
> flush(stderr()); flush(stdout())
> 
> ### 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
<memory cannot be printed>
    #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 ...