Underscores in mu column names doesn't seem to work
WillemSleegers opened this issue · comments
When I try to set up a design like so:
between <- list(condition = c(control = "Control",
low_choice = "Low choice", high_choice = "High choice"))
within <- list(time = c("Pre-essay", "Post-essay"))
mu <- data.frame(
control = c(2, 2),
low_choice = c(2, 3),
high_choice = c(2, 5),
row.names = within$time
)
df <- sim_design(within, between,
n = 100, mu = mu, sd = 2, r = .5,
empirical = TRUE, plot = TRUE)
I get the error that the means data table is misspecified. I think it's because of the underscores in the data frame names of mu.
Thanks for reminding me to finish fixing this in the dev version and push to the main version :)
I'll close this thread when I sort it (which probably won't happen until the weekend).
Sounds good!
I think it currently converts all non-alphanumeric characters to full stops (.), if that helps for now.
Any update on this? I'd also like to use names with underscores, so at the moment, I enter them in with full stops, and rename after using sim_design. Maybe in the future there could be a way to choose the "clean name" character?
I think it's finally totally fixed!!
Any update on this? I'd also like to use names with underscores, so at the moment, I enter them in with full stops, and rename after using
sim_design. Maybe in the future there could be a way to choose the "clean name" character?
You can change the default separator with faux_options(sep = ".") (or whatever you want to change it to).
Hi, I tried the code above, and it still doesn't work for me:
library(faux)
#>
#> ************
#> Welcome to faux. For support and examples visit:
#> http://debruine.github.io/faux/
#> - Get and set global package options with: faux_options()
#> ************
## Works:
between <- list(condition = c(
control = "Control",
low.choice = "Low choice", high.choice = "High choice"
))
within <- list(time = c("Pre-essay", "Post-essay"))
mu <- data.frame(
control = c(2, 2),
low.choice = c(2, 3),
high.choice = c(2, 5),
row.names = within$time
)
sim_design(within, between,
n = 100, mu = mu, sd = 2, r = .5,
empirical = TRUE, plot = TRUE
)
#> id condition Pre-essay Post-essay
#> 1 S001 control 1.27785545 0.99490199
#> 2 S002 control -0.47844696 -0.74046704
#> 3 S003 control -0.78500596 0.43365150
#> 4 S004 control 3.62834761 2.41871277
#> 5 S005 control 5.14638034 1.39918612
#> 6 S006 control 2.04287322 1.30401855
#> 7 S007 control 2.46664971 2.84667942
#> 8 S008 control 2.30706561 2.02318980
#> 9 S009 control 5.22101455 5.82559575
#> 10 S010 control -0.21082029 -0.57814756
#> 11 S011 control 1.98425790 2.78860646
#> 12 S012 control 0.85414219 4.76440099
#> 13 S013 control -0.18039589 0.94977691
#> 14 S014 control 2.70887008 0.32505701
#> 15 S015 control 2.19570435 -0.11659867
#> 16 S016 control 2.10812568 3.30649734
#> 17 S017 control 1.66054971 1.47098709
#> 18 S018 control 1.92054040 3.31209146
#> 19 S019 control 0.52158798 1.11156820
#> 20 S020 control 2.21998718 0.60956906
#> 21 S021 control 1.31322126 1.15890928
#> 22 S022 control -0.99002125 1.03474119
#> 23 S023 control 2.33023943 0.61159899
#> 24 S024 control 3.83014233 0.77260138
#> 25 S025 control -1.43588545 0.16964579
#> 26 S026 control 3.11735191 2.99679806
#> 27 S027 control -0.26904330 0.28076478
#> 28 S028 control -1.11500660 2.50562068
#> 29 S029 control 0.70797014 2.58197434
#> 30 S030 control 3.94821246 3.54948675
#> 31 S031 control -0.16045337 0.44078625
#> 32 S032 control 2.06798550 1.79497818
#> 33 S033 control 1.06655012 0.27265412
#> 34 S034 control -2.14702788 -4.52997452
#> 35 S035 control 4.01658530 3.46519610
#> 36 S036 control 5.14682040 0.22405490
#> 37 S037 control 0.75459842 1.32686493
#> 38 S038 control 0.80523045 1.46671806
#> 39 S039 control 4.59727588 5.37238641
#> 40 S040 control 3.69738355 3.29764667
#> 41 S041 control -2.39576379 -2.17483364
#> 42 S042 control 2.57890615 -1.78027884
#> 43 S043 control 3.50745770 1.53132001
#> 44 S044 control 1.68637831 -0.12191079
#> 45 S045 control 5.21336918 6.50549539
#> 46 S046 control 5.24396770 3.51390385
#> 47 S047 control -0.30011261 0.65866295
#> 48 S048 control 5.12434374 5.90739107
#> 49 S049 control 5.11316033 3.75787694
#> 50 S050 control 0.56943304 2.44095309
#> 51 S051 control 4.37658386 2.30245036
#> 52 S052 control 1.49913689 0.49911430
#> 53 S053 control 1.02251744 4.95034320
#> 54 S054 control 1.63093686 6.22956006
#> 55 S055 control -0.76178714 1.29912565
#> 56 S056 control 0.19008212 -0.17268920
#> 57 S057 control 2.46492533 0.05133658
#> 58 S058 control -0.49535646 -0.31485582
#> 59 S059 control -1.56020446 0.21662344
#> 60 S060 control 4.09532320 4.03475027
#> 61 S061 control 3.20982957 4.63136146
#> 62 S062 control 2.10115431 0.51945964
#> 63 S063 control 0.67744166 1.12643024
#> 64 S064 control -0.61230596 5.59011529
#> 65 S065 control 5.36934210 3.09029223
#> 66 S066 control 2.84042983 -0.04894003
#> 67 S067 control 0.19631412 1.37434048
#> 68 S068 control 3.38885532 5.08883842
#> 69 S069 control 5.99827002 2.87794979
#> 70 S070 control 0.41324442 3.66711784
#> 71 S071 control 5.26446048 1.61131146
#> 72 S072 control 3.31008806 4.92588561
#> 73 S073 control 2.31035555 1.03280042
#> 74 S074 control 1.37070445 2.55245937
#> 75 S075 control 1.43296199 -0.19191325
#> 76 S076 control 1.94635499 4.33338081
#> 77 S077 control 3.05440448 2.86198843
#> 78 S078 control 2.42566100 1.39914806
#> 79 S079 control 1.48105270 2.18804446
#> 80 S080 control 2.79077807 3.78967072
#> 81 S081 control 0.68753670 1.34833288
#> 82 S082 control 4.12303986 2.31020853
#> 83 S083 control -0.49549656 1.58812867
#> 84 S084 control 1.52387305 -0.07745801
#> 85 S085 control 5.03743820 1.73610362
#> 86 S086 control 1.86721903 3.00354667
#> 87 S087 control 3.87742398 2.86552142
#> 88 S088 control -0.88470652 -0.75610894
#> 89 S089 control 2.01263828 1.00623128
#> 90 S090 control -0.74205619 -1.28210844
#> 91 S091 control 1.12666451 0.73498199
#> 92 S092 control 1.17979065 2.47083473
#> 93 S093 control 0.94061247 5.37349784
#> 94 S094 control 2.42405856 4.42547507
#> 95 S095 control 0.63954325 2.79972149
#> 96 S096 control 4.53901388 4.22873139
#> 97 S097 control 2.76270402 2.93246250
#> 98 S098 control 2.96345649 4.39476196
#> 99 S099 control 5.23667069 2.28709142
#> 100 S100 control 5.51646889 3.61323415
#> 101 S101 low.choice 0.58670797 2.72822439
#> 102 S102 low.choice 1.30762301 4.39450183
#> 103 S103 low.choice 2.47417876 3.44010864
#> 104 S104 low.choice -1.72708508 4.07936844
#> 105 S105 low.choice 1.50327980 3.05123741
#> 106 S106 low.choice 5.04443810 7.03333807
#> 107 S107 low.choice 0.35677749 3.26163538
#> 108 S108 low.choice 5.27030733 4.35724886
#> 109 S109 low.choice 2.88867859 3.41460989
#> 110 S110 low.choice 1.98212396 6.87061231
#> 111 S111 low.choice 5.64956425 1.48576771
#> 112 S112 low.choice 3.70652319 5.05292158
#> 113 S113 low.choice 4.61539230 6.02581517
#> 114 S114 low.choice 2.27906741 0.39493955
#> 115 S115 low.choice 1.77742241 2.09851484
#> 116 S116 low.choice 5.01824432 6.56645826
#> 117 S117 low.choice 3.76987178 3.32201764
#> 118 S118 low.choice 3.14481940 2.88754687
#> 119 S119 low.choice 1.70806301 0.94604709
#> 120 S120 low.choice -1.70596937 3.22327570
#> 121 S121 low.choice 2.01574778 3.68410526
#> 122 S122 low.choice -0.21202381 2.23455447
#> 123 S123 low.choice -1.75675280 0.22031815
#> 124 S124 low.choice 0.54976040 1.08187248
#> 125 S125 low.choice 4.08882887 7.65559611
#> 126 S126 low.choice 0.13020340 3.85045703
#> 127 S127 low.choice -0.92631900 0.98586107
#> 128 S128 low.choice 3.39683604 2.55573078
#> 129 S129 low.choice 2.34080055 2.47904669
#> 130 S130 low.choice 0.79674143 2.65596316
#> 131 S131 low.choice -1.79393960 1.77327141
#> 132 S132 low.choice 0.45278752 0.57450218
#> 133 S133 low.choice 0.32736172 -0.90486450
#> 134 S134 low.choice 1.27846756 2.52269095
#> 135 S135 low.choice 0.67587133 4.28634317
#> 136 S136 low.choice 2.44611051 3.67852318
#> 137 S137 low.choice 3.09455087 4.06692075
#> 138 S138 low.choice 3.25020059 0.28245530
#> 139 S139 low.choice -0.70365566 2.57403071
#> 140 S140 low.choice 0.62776880 0.55499463
#> 141 S141 low.choice 0.11987826 -1.10767342
#> 142 S142 low.choice 2.02315247 2.96988006
#> 143 S143 low.choice 3.16045849 2.82881381
#> 144 S144 low.choice 1.48217451 1.73966612
#> 145 S145 low.choice 1.18425897 3.92427638
#> 146 S146 low.choice 3.14521999 5.90996093
#> 147 S147 low.choice 3.29962427 3.91016142
#> 148 S148 low.choice 0.21125773 1.78525674
#> 149 S149 low.choice 2.81315236 4.49830426
#> 150 S150 low.choice 1.66810681 3.68918976
#> 151 S151 low.choice 2.25693942 1.41348661
#> 152 S152 low.choice 5.63579554 4.67101340
#> 153 S153 low.choice 4.16544395 3.42567390
#> 154 S154 low.choice 4.27539530 6.04895923
#> 155 S155 low.choice 2.46939370 2.93633740
#> 156 S156 low.choice 0.31755314 2.22837649
#> 157 S157 low.choice 3.14014171 3.49995166
#> 158 S158 low.choice 2.34876238 2.73787715
#> 159 S159 low.choice -1.66725834 0.12538169
#> 160 S160 low.choice 6.04132962 3.95049958
#> 161 S161 low.choice 0.71703974 1.89456251
#> 162 S162 low.choice 4.99300946 4.07099066
#> 163 S163 low.choice 2.57720405 5.46823118
#> 164 S164 low.choice -0.49616478 0.92261260
#> 165 S165 low.choice 3.43342592 4.55734588
#> 166 S166 low.choice 4.31670538 3.40998225
#> 167 S167 low.choice 3.26236079 2.57659434
#> 168 S168 low.choice 3.64986696 5.98935827
#> 169 S169 low.choice -0.15760216 2.93500507
#> 170 S170 low.choice 0.66642701 0.26427958
#> 171 S171 low.choice -1.47731093 0.03341341
#> 172 S172 low.choice 4.83443422 3.26624095
#> 173 S173 low.choice -1.26190377 1.44936248
#> 174 S174 low.choice 3.52999905 2.59406910
#> 175 S175 low.choice 2.97893268 1.51578474
#> 176 S176 low.choice 3.93193506 4.18555265
#> 177 S177 low.choice 5.22972205 0.46779428
#> 178 S178 low.choice 1.88708838 3.16435565
#> 179 S179 low.choice 2.20258648 2.30511246
#> 180 S180 low.choice 1.54467206 8.92353420
#> 181 S181 low.choice 1.95570236 3.08303029
#> 182 S182 low.choice -1.39224319 -1.16312844
#> 183 S183 low.choice 3.23432941 5.02400407
#> 184 S184 low.choice -1.82951603 0.99308978
#> 185 S185 low.choice 0.49556492 -0.80448324
#> 186 S186 low.choice 5.37499022 4.79549731
#> 187 S187 low.choice 3.63761919 3.53591229
#> 188 S188 low.choice 2.63226936 2.96998792
#> 189 S189 low.choice 1.07607694 2.64774613
#> 190 S190 low.choice 0.73866070 5.46431498
#> 191 S191 low.choice 1.54957244 5.04843091
#> 192 S192 low.choice 1.06620821 4.45866553
#> 193 S193 low.choice 3.74173094 5.91014834
#> 194 S194 low.choice -2.26966560 0.27994525
#> 195 S195 low.choice 1.51631309 -0.05986369
#> 196 S196 low.choice 2.78434623 3.62871351
#> 197 S197 low.choice 3.80071707 1.84034875
#> 198 S198 low.choice 2.18834581 1.01651042
#> 199 S199 low.choice 3.64156806 5.46672951
#> 200 S200 low.choice 1.87482677 3.23826233
#> 201 S201 high.choice 1.17924840 3.85715735
#> 202 S202 high.choice 3.13213715 2.85517541
#> 203 S203 high.choice 2.31898289 4.67054757
#> 204 S204 high.choice 5.37917377 8.74231474
#> 205 S205 high.choice 1.21087564 4.40500777
#> 206 S206 high.choice 2.65579162 6.21593930
#> 207 S207 high.choice 3.88251722 6.83510865
#> 208 S208 high.choice 1.18521315 3.63473802
#> 209 S209 high.choice 0.56534905 6.01951884
#> 210 S210 high.choice -1.55088118 2.83138535
#> 211 S211 high.choice 2.48745245 4.45691811
#> 212 S212 high.choice 0.71440396 4.05085837
#> 213 S213 high.choice 3.35087126 4.93448155
#> 214 S214 high.choice -0.28788987 6.43936723
#> 215 S215 high.choice 1.39819350 5.87020388
#> 216 S216 high.choice 3.25046914 9.29469394
#> 217 S217 high.choice 1.75761479 6.20231709
#> 218 S218 high.choice -0.67991632 3.51923800
#> 219 S219 high.choice 1.41432515 4.30319342
#> 220 S220 high.choice 5.66607221 5.37309627
#> 221 S221 high.choice 2.17369588 7.29675050
#> 222 S222 high.choice -2.20675381 5.22792539
#> 223 S223 high.choice 2.73949312 4.47263580
#> 224 S224 high.choice -1.39096605 0.84237704
#> 225 S225 high.choice 1.31720851 5.47252554
#> 226 S226 high.choice 0.44180303 5.94918432
#> 227 S227 high.choice 3.57048238 3.82713765
#> 228 S228 high.choice 5.12821022 4.06682563
#> 229 S229 high.choice 1.36835910 0.58581918
#> 230 S230 high.choice 2.85020795 3.28055406
#> 231 S231 high.choice 3.41437153 4.48747722
#> 232 S232 high.choice 1.68918727 5.36755297
#> 233 S233 high.choice 0.40561459 3.88794496
#> 234 S234 high.choice 4.59105321 7.28519857
#> 235 S235 high.choice 1.76832913 4.81090233
#> 236 S236 high.choice -0.61227238 6.66158341
#> 237 S237 high.choice 0.88191479 3.24046353
#> 238 S238 high.choice 1.00033768 2.51706649
#> 239 S239 high.choice -0.32993622 1.23947415
#> 240 S240 high.choice 0.92479190 3.89038805
#> 241 S241 high.choice 4.24830631 6.73102971
#> 242 S242 high.choice -0.72188724 2.42850110
#> 243 S243 high.choice 2.76723786 5.50071436
#> 244 S244 high.choice -0.11197605 5.48710686
#> 245 S245 high.choice 0.24287837 4.27556461
#> 246 S246 high.choice 2.79972914 5.62102111
#> 247 S247 high.choice 2.41039972 4.90448090
#> 248 S248 high.choice 4.38232325 8.90039323
#> 249 S249 high.choice 0.55669147 2.46833437
#> 250 S250 high.choice 1.80609801 6.67357566
#> 251 S251 high.choice 2.55081501 5.77831770
#> 252 S252 high.choice 5.11019804 5.55058234
#> 253 S253 high.choice 3.38027888 7.68064923
#> 254 S254 high.choice 3.35993423 4.03000716
#> 255 S255 high.choice 3.59074807 2.80309607
#> 256 S256 high.choice 4.95291924 4.29939986
#> 257 S257 high.choice 1.28913576 2.97565926
#> 258 S258 high.choice 0.90984888 5.08337159
#> 259 S259 high.choice 2.26334924 2.58914959
#> 260 S260 high.choice 2.96119006 5.86634737
#> 261 S261 high.choice 4.80758471 9.59926102
#> 262 S262 high.choice 5.02545870 7.07499692
#> 263 S263 high.choice 1.16326473 4.52998763
#> 264 S264 high.choice 0.54736824 4.52112141
#> 265 S265 high.choice 0.60865314 4.60088161
#> 266 S266 high.choice 2.25459679 4.00740632
#> 267 S267 high.choice 3.65738604 5.49660618
#> 268 S268 high.choice 4.88105052 5.05252034
#> 269 S269 high.choice 3.85434907 8.41770295
#> 270 S270 high.choice 3.31258827 5.02117861
#> 271 S271 high.choice 5.29513280 7.13222852
#> 272 S272 high.choice 3.71944058 8.54126546
#> 273 S273 high.choice 0.91436354 3.35686791
#> 274 S274 high.choice 0.10338443 6.69462455
#> 275 S275 high.choice 5.76976408 4.25828226
#> 276 S276 high.choice 3.19363046 8.71274563
#> 277 S277 high.choice 6.02769065 7.05695285
#> 278 S278 high.choice -0.06478124 4.14539185
#> 279 S279 high.choice 3.27192620 5.13777425
#> 280 S280 high.choice -0.84596943 4.26339553
#> 281 S281 high.choice 5.25559663 4.96812894
#> 282 S282 high.choice 2.73507365 8.79804710
#> 283 S283 high.choice 0.51544514 3.44446128
#> 284 S284 high.choice -0.52617431 6.86298165
#> 285 S285 high.choice -1.10017728 4.33737846
#> 286 S286 high.choice 1.92487208 4.83020815
#> 287 S287 high.choice 2.88971662 7.94791464
#> 288 S288 high.choice -0.48016493 0.85354226
#> 289 S289 high.choice 3.23889251 5.67621159
#> 290 S290 high.choice -1.48397023 0.68443715
#> 291 S291 high.choice 1.01668403 5.84408365
#> 292 S292 high.choice 6.14322437 7.30119774
#> 293 S293 high.choice 1.82547766 4.11652114
#> 294 S294 high.choice -1.24754816 4.04755780
#> 295 S295 high.choice -1.23906258 2.25447546
#> 296 S296 high.choice -0.06182968 0.22766123
#> 297 S297 high.choice 0.37097372 3.56347292
#> 298 S298 high.choice 0.59564490 5.92158603
#> 299 S299 high.choice 2.28138051 7.19355320
#> 300 S300 high.choice 2.34570896 4.93703805
## Doesn't work:
between <- list(condition = c(
control = "Control",
low_choice = "Low choice", high_choice = "High choice"
))
within <- list(time = c("Pre-essay", "Post-essay"))
mu <- data.frame(
control = c(2, 2),
low_choice = c(2, 3),
high_choice = c(2, 5),
row.names = within$time
)
sim_design(within, between,
n = 100, mu = mu, sd = 2, r = .5,
empirical = TRUE, plot = TRUE
)
#> Error in convert_param(mu, cells_w, cells_b, "means"): The means data table is misspecified.
Created on 2021-02-24 by the reprex package (v1.0.0)
Session info
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.0.2 (2020-06-22)
#> os macOS Mojave 10.14.6
#> system x86_64, darwin17.0
#> ui X11
#> language (EN)
#> collate en_AU.UTF-8
#> ctype en_AU.UTF-8
#> tz Australia/Sydney
#> date 2021-02-24
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
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#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.0.0)
#> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.0.0)
#> R6 2.5.0 2020-10-28 [1] CRAN (R 4.0.2)
#> RColorBrewer 1.1-2 2014-12-07 [1] CRAN (R 4.0.0)
#> reprex 1.0.0 2021-01-27 [1] CRAN (R 4.0.2)
#> rlang 0.4.10 2020-12-30 [1] CRAN (R 4.0.2)
#> rmarkdown 2.7.1 2021-02-24 [1] Github (rstudio/rmarkdown@e455285)
#> scales 1.1.1 2020-05-11 [1] CRAN (R 4.0.0)
#> sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.0.0)
#> stringi 1.5.3 2020-09-09 [1] CRAN (R 4.0.2)
#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.0.0)
#> styler 1.3.2 2020-02-23 [1] CRAN (R 4.0.0)
#> tibble 3.0.6 2021-01-29 [1] CRAN (R 4.0.2)
#> tidyselect 1.1.0 2020-05-11 [1] CRAN (R 4.0.0)
#> utf8 1.1.4 2018-05-24 [1] CRAN (R 4.0.0)
#> vctrs 0.3.6 2020-12-17 [1] CRAN (R 4.0.2)
#> withr 2.4.1 2021-01-26 [1] CRAN (R 4.0.2)
#> xfun 0.21 2021-02-10 [1] CRAN (R 4.0.2)
#> xml2 1.3.2 2020-04-23 [1] CRAN (R 4.0.0)
#> yaml 2.2.1 2020-02-01 [1] CRAN (R 4.0.0)
#>
#> [1] /Library/Frameworks/R.framework/Versions/4.0/Resources/libraryWorks when setting long = TRUE!
library(faux)
#>
#> ************
#> Welcome to faux. For support and examples visit:
#> http://debruine.github.io/faux/
#> - Get and set global package options with: faux_options()
#> ************
between <- list(condition = c(
control = "Control",
low_choice = "Low choice", high_choice = "High choice"
))
within <- list(time = c("Pre-essay", "Post-essay"))
mu <- data.frame(
control = c(2, 2),
low_choice = c(2, 3),
high_choice = c(2, 5),
row.names = within$time
)
sim_design(within, between,
n = 100, mu = mu, sd = 2, r = .5,
empirical = TRUE, plot = TRUE, long = TRUE
)
#> id condition time y
#> 1 S001 control Pre-essay -0.18554106
#> 2 S002 control Pre-essay -1.87015863
#> 3 S003 control Pre-essay 0.19677342
#> 4 S004 control Pre-essay 4.07589133
#> 5 S005 control Pre-essay 5.74128755
#> 6 S006 control Pre-essay 5.79778916
#> 7 S007 control Pre-essay 1.58982779
#> 8 S008 control Pre-essay 1.43344853
#> 9 S009 control Pre-essay 3.38619244
#> 10 S010 control Pre-essay -1.28444362
#> 11 S011 control Pre-essay 2.56273551
#> 12 S012 control Pre-essay 3.38487511
#> 13 S013 control Pre-essay 1.87562419
#> 14 S014 control Pre-essay 4.19762947
#> 15 S015 control Pre-essay 4.05045661
#> 16 S016 control Pre-essay 1.45499505
#> 17 S017 control Pre-essay 1.29413129
#> 18 S018 control Pre-essay 0.09724483
#> 19 S019 control Pre-essay 2.85129656
#> 20 S020 control Pre-essay 0.32905885
#> 21 S021 control Pre-essay 1.00587729
#> 22 S022 control Pre-essay 1.75337582
#> 23 S023 control Pre-essay -1.59045088
#> 24 S024 control Pre-essay 4.00765080
#> 25 S025 control Pre-essay 1.48302774
#> 26 S026 control Pre-essay -1.67301192
#> 27 S027 control Pre-essay 5.33564776
#> 28 S028 control Pre-essay 1.60647615
#> 29 S029 control Pre-essay 7.33729212
#> 30 S030 control Pre-essay 0.89529819
#> 31 S031 control Pre-essay 2.15065101
#> 32 S032 control Pre-essay 0.19383148
#> 33 S033 control Pre-essay 1.75996029
#> 34 S034 control Pre-essay 1.72501521
#> 35 S035 control Pre-essay 1.36633353
#> 36 S036 control Pre-essay 2.66978214
#> 37 S037 control Pre-essay 0.16232454
#> 38 S038 control Pre-essay 1.77601725
#> 39 S039 control Pre-essay 1.66402212
#> 40 S040 control Pre-essay 5.52911789
#> 41 S041 control Pre-essay 5.10612242
#> 42 S042 control Pre-essay 2.15671927
#> 43 S043 control Pre-essay -0.63322967
#> 44 S044 control Pre-essay 2.70375822
#> 45 S045 control Pre-essay 1.89381442
#> 46 S046 control Pre-essay 2.48498089
#> 47 S047 control Pre-essay 2.36078312
#> 48 S048 control Pre-essay 1.00249138
#> 49 S049 control Pre-essay 4.19761958
#> 50 S050 control Pre-essay 1.15950412
#> 51 S051 control Pre-essay 1.74426607
#> 52 S052 control Pre-essay -0.43610463
#> 53 S053 control Pre-essay 3.34348512
#> 54 S054 control Pre-essay 4.37635279
#> 55 S055 control Pre-essay -0.36770323
#> 56 S056 control Pre-essay -0.32036853
#> 57 S057 control Pre-essay 1.73507695
#> 58 S058 control Pre-essay 3.88550654
#> 59 S059 control Pre-essay 0.23181823
#> 60 S060 control Pre-essay 3.20172375
#> 61 S061 control Pre-essay 3.71082429
#> 62 S062 control Pre-essay 1.16907696
#> 63 S063 control Pre-essay 2.29306657
#> 64 S064 control Pre-essay -0.35674643
#> 65 S065 control Pre-essay 0.47311426
#> 66 S066 control Pre-essay 2.24687304
#> 67 S067 control Pre-essay -0.61675741
#> 68 S068 control Pre-essay 2.46330618
#> 69 S069 control Pre-essay 5.36320071
#> 70 S070 control Pre-essay 0.43596659
#> 71 S071 control Pre-essay 4.33186088
#> 72 S072 control Pre-essay 0.54011041
#> 73 S073 control Pre-essay 1.65673130
#> 74 S074 control Pre-essay 1.00497781
#> 75 S075 control Pre-essay 3.49454251
#> 76 S076 control Pre-essay 3.97098992
#> 77 S077 control Pre-essay 3.20720844
#> 78 S078 control Pre-essay 0.55555765
#> 79 S079 control Pre-essay 4.06495956
#> 80 S080 control Pre-essay 2.51060071
#> 81 S081 control Pre-essay 0.40854122
#> 82 S082 control Pre-essay 0.81487974
#> 83 S083 control Pre-essay 2.24281235
#> 84 S084 control Pre-essay -0.22096082
#> 85 S085 control Pre-essay 1.77875972
#> 86 S086 control Pre-essay 1.12357190
#> 87 S087 control Pre-essay -0.96428187
#> 88 S088 control Pre-essay 2.52722389
#> 89 S089 control Pre-essay 1.73407572
#> 90 S090 control Pre-essay 1.95351541
#> 91 S091 control Pre-essay 8.44503378
#> 92 S092 control Pre-essay 1.48600013
#> 93 S093 control Pre-essay 2.01086687
#> 94 S094 control Pre-essay 1.99998419
#> 95 S095 control Pre-essay -2.12193798
#> 96 S096 control Pre-essay 2.64871039
#> 97 S097 control Pre-essay 5.54945676
#> 98 S098 control Pre-essay -0.17196380
#> 99 S099 control Pre-essay 4.70016438
#> 100 S100 control Pre-essay 1.57211432
#> 101 S101 low_choice Pre-essay -0.55064899
#> 102 S102 low_choice Pre-essay -0.70201957
#> 103 S103 low_choice Pre-essay -1.10513752
#> 104 S104 low_choice Pre-essay 2.02142725
#> 105 S105 low_choice Pre-essay 2.88409133
#> 106 S106 low_choice Pre-essay 4.31104930
#> 107 S107 low_choice Pre-essay 1.93032538
#> 108 S108 low_choice Pre-essay 0.92612541
#> 109 S109 low_choice Pre-essay 3.27200256
#> 110 S110 low_choice Pre-essay 1.90504876
#> 111 S111 low_choice Pre-essay 2.50399141
#> 112 S112 low_choice Pre-essay 2.68542887
#> 113 S113 low_choice Pre-essay 4.46291566
#> 114 S114 low_choice Pre-essay -2.45086777
#> 115 S115 low_choice Pre-essay 2.58949425
#> 116 S116 low_choice Pre-essay 4.82052462
#> 117 S117 low_choice Pre-essay 4.31335551
#> 118 S118 low_choice Pre-essay 2.84556116
#> 119 S119 low_choice Pre-essay 2.01472526
#> 120 S120 low_choice Pre-essay 2.15493085
#> 121 S121 low_choice Pre-essay 3.20441598
#> 122 S122 low_choice Pre-essay -1.71570682
#> 123 S123 low_choice Pre-essay -1.60467012
#> 124 S124 low_choice Pre-essay 4.86626806
#> 125 S125 low_choice Pre-essay 2.55256400
#> 126 S126 low_choice Pre-essay 1.99451922
#> 127 S127 low_choice Pre-essay 5.41962296
#> 128 S128 low_choice Pre-essay 3.34318674
#> 129 S129 low_choice Pre-essay 1.74882490
#> 130 S130 low_choice Pre-essay -2.04587798
#> 131 S131 low_choice Pre-essay 6.80696873
#> 132 S132 low_choice Pre-essay 1.73562450
#> 133 S133 low_choice Pre-essay -1.08476684
#> 134 S134 low_choice Pre-essay 0.99508051
#> 135 S135 low_choice Pre-essay 3.91682723
#> 136 S136 low_choice Pre-essay 0.56645850
#> 137 S137 low_choice Pre-essay 2.38643881
#> 138 S138 low_choice Pre-essay 0.32150774
#> 139 S139 low_choice Pre-essay 1.95798302
#> 140 S140 low_choice Pre-essay 2.06958438
#> 141 S141 low_choice Pre-essay 4.42259442
#> 142 S142 low_choice Pre-essay 1.45824864
#> 143 S143 low_choice Pre-essay 2.67970322
#> 144 S144 low_choice Pre-essay 5.01473067
#> 145 S145 low_choice Pre-essay 2.62274569
#> 146 S146 low_choice Pre-essay 2.45346380
#> 147 S147 low_choice Pre-essay 3.34867700
#> 148 S148 low_choice Pre-essay 0.71544874
#> 149 S149 low_choice Pre-essay -1.40502321
#> 150 S150 low_choice Pre-essay 2.35245753
#> 151 S151 low_choice Pre-essay 1.26411171
#> 152 S152 low_choice Pre-essay 1.66910000
#> 153 S153 low_choice Pre-essay 4.91114281
#> 154 S154 low_choice Pre-essay 2.95238448
#> 155 S155 low_choice Pre-essay 1.99371064
#> 156 S156 low_choice Pre-essay -0.46320237
#> 157 S157 low_choice Pre-essay -1.07378438
#> 158 S158 low_choice Pre-essay 0.22609240
#> 159 S159 low_choice Pre-essay 4.89442471
#> 160 S160 low_choice Pre-essay 1.22892068
#> 161 S161 low_choice Pre-essay 3.00579778
#> 162 S162 low_choice Pre-essay 1.07158589
#> 163 S163 low_choice Pre-essay 2.03669990
#> 164 S164 low_choice Pre-essay 0.71048741
#> 165 S165 low_choice Pre-essay 4.55723341
#> 166 S166 low_choice Pre-essay 4.74119136
#> 167 S167 low_choice Pre-essay 4.63459235
#> 168 S168 low_choice Pre-essay 3.32896010
#> 169 S169 low_choice Pre-essay 3.11240623
#> 170 S170 low_choice Pre-essay -0.81673559
#> 171 S171 low_choice Pre-essay -0.79816680
#> 172 S172 low_choice Pre-essay 0.63298064
#> 173 S173 low_choice Pre-essay 3.29920569
#> 174 S174 low_choice Pre-essay 2.13457583
#> 175 S175 low_choice Pre-essay 1.33419841
#> 176 S176 low_choice Pre-essay 3.45222681
#> 177 S177 low_choice Pre-essay 2.25902827
#> 178 S178 low_choice Pre-essay 1.03826229
#> 179 S179 low_choice Pre-essay 1.94977081
#> 180 S180 low_choice Pre-essay 3.97253502
#> 181 S181 low_choice Pre-essay 1.51831458
#> 182 S182 low_choice Pre-essay 0.82936812
#> 183 S183 low_choice Pre-essay -3.41158680
#> 184 S184 low_choice Pre-essay -1.39519068
#> 185 S185 low_choice Pre-essay 3.55614834
#> 186 S186 low_choice Pre-essay 4.09255557
#> 187 S187 low_choice Pre-essay 4.18468896
#> 188 S188 low_choice Pre-essay 2.35782789
#> 189 S189 low_choice Pre-essay 3.08788784
#> 190 S190 low_choice Pre-essay 1.79702828
#> 191 S191 low_choice Pre-essay 1.66271421
#> 192 S192 low_choice Pre-essay -0.41728894
#> 193 S193 low_choice Pre-essay 1.77949711
#> 194 S194 low_choice Pre-essay 0.95272923
#> 195 S195 low_choice Pre-essay 2.37160604
#> 196 S196 low_choice Pre-essay 3.98744327
#> 197 S197 low_choice Pre-essay 5.28436703
#> 198 S198 low_choice Pre-essay 2.83778088
#> 199 S199 low_choice Pre-essay 1.08160407
#> 200 S200 low_choice Pre-essay -1.34745524
#> 201 S201 high_choice Pre-essay 1.84133407
#> 202 S202 high_choice Pre-essay -0.77736976
#> 203 S203 high_choice Pre-essay -0.21868842
#> 204 S204 high_choice Pre-essay 3.46948395
#> 205 S205 high_choice Pre-essay -0.41052046
#> 206 S206 high_choice Pre-essay 0.90709745
#> 207 S207 high_choice Pre-essay 2.86834310
#> 208 S208 high_choice Pre-essay -1.49115423
#> 209 S209 high_choice Pre-essay -2.39821561
#> 210 S210 high_choice Pre-essay -0.01045565
#> 211 S211 high_choice Pre-essay 3.62688988
#> 212 S212 high_choice Pre-essay 2.59441767
#> 213 S213 high_choice Pre-essay 2.07826316
#> 214 S214 high_choice Pre-essay 4.22487411
#> 215 S215 high_choice Pre-essay 3.61845510
#> 216 S216 high_choice Pre-essay 0.30902301
#> 217 S217 high_choice Pre-essay -1.38438220
#> 218 S218 high_choice Pre-essay 2.25445581
#> 219 S219 high_choice Pre-essay 3.66552493
#> 220 S220 high_choice Pre-essay 1.96818729
#> 221 S221 high_choice Pre-essay 3.07402782
#> 222 S222 high_choice Pre-essay -1.13017554
#> 223 S223 high_choice Pre-essay 2.88622430
#> 224 S224 high_choice Pre-essay 2.83006256
#> 225 S225 high_choice Pre-essay 1.42083790
#> 226 S226 high_choice Pre-essay 1.27348497
#> 227 S227 high_choice Pre-essay 1.71393381
#> 228 S228 high_choice Pre-essay 0.78809659
#> 229 S229 high_choice Pre-essay 2.14900727
#> 230 S230 high_choice Pre-essay 4.39270908
#> 231 S231 high_choice Pre-essay 2.60029600
#> 232 S232 high_choice Pre-essay -0.41348314
#> 233 S233 high_choice Pre-essay -0.48206206
#> 234 S234 high_choice Pre-essay 1.41589926
#> 235 S235 high_choice Pre-essay 4.01100931
#> 236 S236 high_choice Pre-essay 0.67093381
#> 237 S237 high_choice Pre-essay -0.29201793
#> 238 S238 high_choice Pre-essay 1.27346381
#> 239 S239 high_choice Pre-essay 2.59620471
#> 240 S240 high_choice Pre-essay 4.43605920
#> 241 S241 high_choice Pre-essay 4.11563404
#> 242 S242 high_choice Pre-essay -0.81884442
#> 243 S243 high_choice Pre-essay 2.06917280
#> 244 S244 high_choice Pre-essay 2.78555426
#> 245 S245 high_choice Pre-essay 0.84768657
#> 246 S246 high_choice Pre-essay 3.27417077
#> 247 S247 high_choice Pre-essay 1.25610872
#> 248 S248 high_choice Pre-essay 0.50767633
#> 249 S249 high_choice Pre-essay 1.69168706
#> 250 S250 high_choice Pre-essay 3.97247761
#> 251 S251 high_choice Pre-essay 2.17424646
#> 252 S252 high_choice Pre-essay 3.57922187
#> 253 S253 high_choice Pre-essay 4.63341174
#> 254 S254 high_choice Pre-essay 2.64564607
#> 255 S255 high_choice Pre-essay 3.63050825
#> 256 S256 high_choice Pre-essay 4.37778264
#> 257 S257 high_choice Pre-essay 1.07647729
#> 258 S258 high_choice Pre-essay 4.87108055
#> 259 S259 high_choice Pre-essay 4.71514742
#> 260 S260 high_choice Pre-essay 0.13863160
#> 261 S261 high_choice Pre-essay 2.93326993
#> 262 S262 high_choice Pre-essay 2.80893728
#> 263 S263 high_choice Pre-essay 5.70880927
#> 264 S264 high_choice Pre-essay 3.97309377
#> 265 S265 high_choice Pre-essay 2.45326891
#> 266 S266 high_choice Pre-essay 2.90752179
#> 267 S267 high_choice Pre-essay 1.11708146
#> 268 S268 high_choice Pre-essay 4.54649863
#> 269 S269 high_choice Pre-essay 2.43043150
#> 270 S270 high_choice Pre-essay 3.07030790
#> 271 S271 high_choice Pre-essay -1.99473595
#> 272 S272 high_choice Pre-essay 5.29514107
#> 273 S273 high_choice Pre-essay 1.84000882
#> 274 S274 high_choice Pre-essay -2.98100647
#> 275 S275 high_choice Pre-essay 0.82062264
#> 276 S276 high_choice Pre-essay 2.17180412
#> 277 S277 high_choice Pre-essay -0.83849905
#> 278 S278 high_choice Pre-essay 2.15446572
#> 279 S279 high_choice Pre-essay 2.18767752
#> 280 S280 high_choice Pre-essay -1.76493510
#> 281 S281 high_choice Pre-essay 1.35904339
#> 282 S282 high_choice Pre-essay 2.91305535
#> 283 S283 high_choice Pre-essay 1.50571200
#> 284 S284 high_choice Pre-essay 2.07564245
#> 285 S285 high_choice Pre-essay 4.35914429
#> 286 S286 high_choice Pre-essay -1.93599168
#> 287 S287 high_choice Pre-essay 2.32098323
#> 288 S288 high_choice Pre-essay 7.15632695
#> 289 S289 high_choice Pre-essay 3.29365379
#> 290 S290 high_choice Pre-essay 1.58655546
#> 291 S291 high_choice Pre-essay 5.57801262
#> 292 S292 high_choice Pre-essay 2.89422104
#> 293 S293 high_choice Pre-essay 3.77323325
#> 294 S294 high_choice Pre-essay 3.45930649
#> 295 S295 high_choice Pre-essay 3.21552417
#> 296 S296 high_choice Pre-essay -1.37579563
#> 297 S297 high_choice Pre-essay 0.77519350
#> 298 S298 high_choice Pre-essay 0.22817949
#> 299 S299 high_choice Pre-essay 4.02057368
#> 300 S300 high_choice Pre-essay 0.46410984
#> 301 S001 control Post-essay 1.91632259
#> 302 S002 control Post-essay 0.22774085
#> 303 S003 control Post-essay -0.37890533
#> 304 S004 control Post-essay -0.41389585
#> 305 S005 control Post-essay 0.78081265
#> 306 S006 control Post-essay 5.61115614
#> 307 S007 control Post-essay 5.49429262
#> 308 S008 control Post-essay 1.65298080
#> 309 S009 control Post-essay 1.93432512
#> 310 S010 control Post-essay 0.39359751
#> 311 S011 control Post-essay 3.08104802
#> 312 S012 control Post-essay 0.72143983
#> 313 S013 control Post-essay 2.77130660
#> 314 S014 control Post-essay 0.83204090
#> 315 S015 control Post-essay 2.65412615
#> 316 S016 control Post-essay 1.31130208
#> 317 S017 control Post-essay 0.12472405
#> 318 S018 control Post-essay -1.56269011
#> 319 S019 control Post-essay 2.15225663
#> 320 S020 control Post-essay 2.95270828
#> 321 S021 control Post-essay 0.78682421
#> 322 S022 control Post-essay -1.07013490
#> 323 S023 control Post-essay 1.97596478
#> 324 S024 control Post-essay 3.77030437
#> 325 S025 control Post-essay 0.14984734
#> 326 S026 control Post-essay 0.94753854
#> 327 S027 control Post-essay 3.22414211
#> 328 S028 control Post-essay 4.31338129
#> 329 S029 control Post-essay 8.64005447
#> 330 S030 control Post-essay -0.78565992
#> 331 S031 control Post-essay 1.55703298
#> 332 S032 control Post-essay 0.45428231
#> 333 S033 control Post-essay -0.59551274
#> 334 S034 control Post-essay 3.84567719
#> 335 S035 control Post-essay 1.83122648
#> 336 S036 control Post-essay 2.26801066
#> 337 S037 control Post-essay 0.44108294
#> 338 S038 control Post-essay 4.28607252
#> 339 S039 control Post-essay 1.18838792
#> 340 S040 control Post-essay 2.67785901
#> 341 S041 control Post-essay 3.86246306
#> 342 S042 control Post-essay 2.73275902
#> 343 S043 control Post-essay 0.21701984
#> 344 S044 control Post-essay 3.53000781
#> 345 S045 control Post-essay 4.49315785
#> 346 S046 control Post-essay -1.85160842
#> 347 S047 control Post-essay 1.62590529
#> 348 S048 control Post-essay 3.31877570
#> 349 S049 control Post-essay 3.56452622
#> 350 S050 control Post-essay 2.48189890
#> 351 S051 control Post-essay -0.74919658
#> 352 S052 control Post-essay 1.82096263
#> 353 S053 control Post-essay 3.54216167
#> 354 S054 control Post-essay 4.21904957
#> 355 S055 control Post-essay 0.81403285
#> 356 S056 control Post-essay -1.91347407
#> 357 S057 control Post-essay 3.06823028
#> 358 S058 control Post-essay 3.68317024
#> 359 S059 control Post-essay 0.77340408
#> 360 S060 control Post-essay 2.06902378
#> 361 S061 control Post-essay 5.21071766
#> 362 S062 control Post-essay 2.65155269
#> 363 S063 control Post-essay 0.76888894
#> 364 S064 control Post-essay 1.42714671
#> 365 S065 control Post-essay 1.44081971
#> 366 S066 control Post-essay 1.98549231
#> 367 S067 control Post-essay -4.47982829
#> 368 S068 control Post-essay 1.25925480
#> 369 S069 control Post-essay 5.86617310
#> 370 S070 control Post-essay 3.42429207
#> 371 S071 control Post-essay 2.88159515
#> 372 S072 control Post-essay 2.18655178
#> 373 S073 control Post-essay 0.71015416
#> 374 S074 control Post-essay 1.79069099
#> 375 S075 control Post-essay 2.80431407
#> 376 S076 control Post-essay 4.63685758
#> 377 S077 control Post-essay 4.43533840
#> 378 S078 control Post-essay 0.62388841
#> 379 S079 control Post-essay 3.72130248
#> 380 S080 control Post-essay 1.58612923
#> 381 S081 control Post-essay 1.01257719
#> 382 S082 control Post-essay 3.03796476
#> 383 S083 control Post-essay 4.94619277
#> 384 S084 control Post-essay 1.31796534
#> 385 S085 control Post-essay 1.62432203
#> 386 S086 control Post-essay 3.33662071
#> 387 S087 control Post-essay 4.17866222
#> 388 S088 control Post-essay -1.04238015
#> 389 S089 control Post-essay 2.27060551
#> 390 S090 control Post-essay 1.06836817
#> 391 S091 control Post-essay 6.87925200
#> 392 S092 control Post-essay -0.59544784
#> 393 S093 control Post-essay 0.86943369
#> 394 S094 control Post-essay 0.60499337
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#> 397 S097 control Post-essay 1.78970864
#> 398 S098 control Post-essay 3.36879322
#> 399 S099 control Post-essay 2.13859015
#> 400 S100 control Post-essay 1.44929662
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#> 498 S198 low_choice Post-essay 2.59765237
#> 499 S199 low_choice Post-essay 2.52151958
#> 500 S200 low_choice Post-essay -0.32839452
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#> 558 S258 high_choice Post-essay 6.75551781
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#> 586 S286 high_choice Post-essay 1.69023451
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#> 589 S289 high_choice Post-essay 3.69916500
#> 590 S290 high_choice Post-essay 5.13551882
#> 591 S291 high_choice Post-essay 8.03757598
#> 592 S292 high_choice Post-essay 4.64677341
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#> 594 S294 high_choice Post-essay 3.53544719
#> 595 S295 high_choice Post-essay 4.94889300
#> 596 S296 high_choice Post-essay 2.61450171
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#> 600 S300 high_choice Post-essay 1.98556171
Created on 2021-02-24 by the reprex package (v1.0.0)
Session info
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.0.2 (2020-06-22)
#> os macOS Mojave 10.14.6
#> system x86_64, darwin17.0
#> ui X11
#> language (EN)
#> collate en_AU.UTF-8
#> ctype en_AU.UTF-8
#> tz Australia/Sydney
#> date 2021-02-24
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date lib source
#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.0.0)
#> backports 1.2.1 2020-12-09 [1] CRAN (R 4.0.2)
#> cli 2.3.1 2021-02-23 [1] CRAN (R 4.0.2)
#> colorspace 2.0-0 2020-11-11 [1] CRAN (R 4.0.2)
#> crayon 1.4.1 2021-02-08 [1] CRAN (R 4.0.2)
#> curl 4.3 2019-12-02 [1] CRAN (R 4.0.0)
#> DBI 1.1.1 2021-01-15 [1] CRAN (R 4.0.2)
#> debugme 1.1.0 2017-10-22 [1] CRAN (R 4.0.2)
#> digest 0.6.27 2020-10-24 [1] CRAN (R 4.0.2)
#> dplyr 1.0.4 2021-02-02 [1] CRAN (R 4.0.2)
#> ellipsis 0.3.1 2020-05-15 [1] CRAN (R 4.0.0)
#> evaluate 0.14 2019-05-28 [1] CRAN (R 4.0.0)
#> fansi 0.4.2 2021-01-15 [1] CRAN (R 4.0.2)
#> farver 2.0.3 2020-01-16 [1] CRAN (R 4.0.0)
#> faux * 0.0.1.7 2021-02-24 [1] Github (debruine/faux@9df7196)
#> fs 1.5.0 2020-07-31 [1] CRAN (R 4.0.2)
#> generics 0.1.0 2020-10-31 [1] CRAN (R 4.0.2)
#> ggplot2 3.3.3 2020-12-30 [1] CRAN (R 4.0.2)
#> glue 1.4.2 2020-08-27 [1] CRAN (R 4.0.2)
#> gtable 0.3.0 2019-03-25 [1] CRAN (R 4.0.0)
#> highr 0.8 2019-03-20 [1] CRAN (R 4.0.0)
#> htmltools 0.5.1.1 2021-01-22 [1] CRAN (R 4.0.2)
#> httr 1.4.2 2020-07-20 [1] CRAN (R 4.0.2)
#> knitr 1.31 2021-01-27 [1] CRAN (R 4.0.2)
#> labeling 0.4.2 2020-10-20 [1] CRAN (R 4.0.2)
#> lifecycle 1.0.0 2021-02-15 [1] CRAN (R 4.0.2)
#> magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.0.2)
#> mime 0.10 2021-02-13 [1] CRAN (R 4.0.2)
#> munsell 0.5.0 2018-06-12 [1] CRAN (R 4.0.0)
#> pillar 1.5.0 2021-02-22 [1] CRAN (R 4.0.2)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.0.0)
#> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.0.0)
#> R6 2.5.0 2020-10-28 [1] CRAN (R 4.0.2)
#> RColorBrewer 1.1-2 2014-12-07 [1] CRAN (R 4.0.0)
#> reprex 1.0.0 2021-01-27 [1] CRAN (R 4.0.2)
#> rlang 0.4.10 2020-12-30 [1] CRAN (R 4.0.2)
#> rmarkdown 2.7.1 2021-02-24 [1] Github (rstudio/rmarkdown@e455285)
#> scales 1.1.1 2020-05-11 [1] CRAN (R 4.0.0)
#> sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.0.0)
#> stringi 1.5.3 2020-09-09 [1] CRAN (R 4.0.2)
#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.0.0)
#> styler 1.3.2 2020-02-23 [1] CRAN (R 4.0.0)
#> tibble 3.0.6 2021-01-29 [1] CRAN (R 4.0.2)
#> tidyselect 1.1.0 2020-05-11 [1] CRAN (R 4.0.0)
#> utf8 1.1.4 2018-05-24 [1] CRAN (R 4.0.0)
#> vctrs 0.3.6 2020-12-17 [1] CRAN (R 4.0.2)
#> withr 2.4.1 2021-01-26 [1] CRAN (R 4.0.2)
#> xfun 0.21 2021-02-10 [1] CRAN (R 4.0.2)
#> xml2 1.3.2 2020-04-23 [1] CRAN (R 4.0.0)
#> yaml 2.2.1 2020-02-01 [1] CRAN (R 4.0.0)
#>
#> [1] /Library/Frameworks/R.framework/Versions/4.0/Resources/libraryFor wide format, you need to set sep to a character that doesn’t appear in the factor labels.
```
faux_options(sep = "~”) # this should work
```
Since you don’t have more than one between or within factor, this isn’t actually relevant, so I’ll add code to warn you if it is relevant and ignore it if it isn’t, so this should work without changing sep in the future.