I have already converted this data set from long to wide but have lost the code! I remember it consisting of just one line. When I now look at how to convert long to wide it looks extremely more complex.
In the picture 1 you can see the data set in long form. I want to change to wide form over the variables ObstNamePOST to ReactionTimePost with C_RT as the depend variable (value). The other picture 2 shows how the data looked when I successfully did it the first time. The difference now is that I want to include one more variable in the spreading which is the ReacTimePOST.
I've tried this code
wide_drive <- spread(all_drive_data, 'ObstNamePOST:ReacTimePOST','NC_RT')
With no success, the 'obstNamePOST:ReacTimePost' was not recognised.
Thanks for reading and any advice you may leave....
structure(list(UsernamePOST = c(604, 604, 604, 604, 604, 604,
606, 606, 609, 609), ObstNamePOST = c("Barrel", "Barrel", "Barrel",
"Barrel", "Horse", "Horse", "Barrel", "Barrel", "Barrel", "Horse"
), Obst_DistPOST = c("Far", "Near", "Near", "Near", "Near", "Near",
"Near", "Near", "Near", "Near"), Obst_SpeedPOST = c("Slow", "Slow",
"Slow", "Fast", "Slow", "Fast", "Slow", "Fast", "Slow", "Fast"
), HeartBeat_DistancePOST = c(-300, -300, 0, 0, 0, 0, 0, -300,
-300, -300), ReacTimePOST = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1),
C_RT = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), NC_RT = c(100,
100, 100, 100, 100, 100, 100, 100, 100, 100)), row.names = c(NA,
-10L), class = c("tbl_df", "tbl", "data.frame"))
Copied and Pasted:
Current dataset:
HeartBeat_DistancePOST ReacTimePOST C_RT NC_RT
604 Barrel Far Slow -300 1 100
604 Barrel Near Slow -300 1 100
604 Barrel Near Slow 0 1 100
604 Barrel Near Fast 0 1 100
604 Horse Near Slow 0 1 100
604 Horse Near Fast 0 1 100
606 Barrel Near Slow 0 1 100
606 Barrel Near Fast -300 1 100
Desired dataset but I would like to add the ReacTimePOST variable:
Participant_Number Adult_Left_Normal_-300 Adult_Left_Normal_000 Adult_Right_Normal_-300 Adult_Right_Normal_000 Barrel_Far_Fast_-300 Barrel_Far_Fast_000 Barrel_Far_Slow_-300 Barrel_Far_Slow_000 Barrel_Near_Fast_-300 Barrel_Near_Fast_000 Barrel_Near_Slow_-300 Barrel_Near_Slow_000 Child_Left_Normal_-300 Child_Left_Normal_000 Child_Right_Normal_-300 Child_Right_Normal_000 Horse_Far_Fast_-300 Horse_Far_Fast_000 Horse_Far_Slow_-300 Horse_Far_Slow_000 Horse_Near_Fast_-300 Horse_Near_Fast_000 Horse_Near_Slow_-300 Horse_Near_Slow_000
601 0.388346367 0.235300697 0.03155518 0.624582933 0.110802464 0.25957337 0.08679504 0.164433292 0.284582528 0.413972863 0.207617186 0.28161927 0.13972601 0.045308433 0.304697667 0.10031129 0.157257088 0.359689348 0.116680908 0.263032534 0.19115524 0.185128782 0.505271842 0.158193964
602 0.294846867 0.388679503 0.15895842 0.221110027 0.228887962 0.503114284 0.243893454 0.39346924 0.381271356 0.120846548 0.13975677 0.319363408 0.224146543 0.343569433 0.12073006 0.29235078 0.339309712 0.362793736 0.52406006 0.28859633 0.518426446 0.148005672 0.3388977 0.336997982
603 0.174173987 0.239552833 0.234517407 0.16715495 0.27220459 0.179284668 0.107244872 0.187420646 0.051934812 0.214245614 0.1635315 0.192297354 0.072041843 0.098042807 0.243052167 0.082326267 0.198791506 0.078521728 0.216784674 0.103741438 0.091583236 0.171832274 0.302374278 0.460546944
604 0.309366873 1.046732467 0.23858644 0.594436633 0.563371266 0.22630921 0.610015855 0.267286698 0.128946947 0.650960267 0.417259213 0.141574878 0.664484667 0.418242113 0.7192688 0.482289633 0.492884625 0.700427174 0.4072052 0.39345704 0.406260173 0.764027767 0.600029025 0.54421615
605 0.309895843 0.6479008 0.6499176 0.579925533 0.381809986 0.49032592 0.75975724 0.44464418 0.38040314 0.57066642 0.439990252 0.68888845 0.121592207 0.3935903 0.7694243 0.453104667 0.55651854 0.6326355 0.419287102 0.44053956 0.747642608 0.64734956 0.28784026 0.533651724
606 0.62498475 0.340876283 0.448109933 0.803698233 0.225082393 0.612350448 0.7096863 0.72827456 0.419136025 0.769892233 0.48204268 0.626884475 0.49825669 0.996437233 0.753606167 0.745627033 0.62997436 0.7341919 0.3663559 0.6824097 0.8533996 0.271708173 0.458166508 0.54191892
607 0.192169187 0.526224767 0.437194823 0.455769867 0.29140931 0.41169432 0.338650518 0.231164566 0.479882814 0.3833084 0.504272444 0.267279054 0.37011209 0.09752402 0.353108733 0.390748353 0.177707665 0.317674248 0.2109268 0.423828128 0.314648434 0.313227836 0.174044794 0.268264778
608 0.25473659 0.2265676 0.07975769 0.7150548 0.229162594 0.172861085 0.263035584 0.092198184 0.267520126 0.253094474 0.404348766 0.18172761 0.433207173 0.281443287 0.104553227 0.36150105 0.329232798 0.283331298 0.268568432 0.265734874 0.285373688 0.300894158 0.274803175 0.43774414
609 0.700414033 0.7678426 0.490203867 0.523523967 0.46584778 0.56144714 0.55058594 0.40422974 0.45477906 0.53903502 0.4534378 0.68759468 0.565592433 0.7615255 0.6405538 0.667154967 0.50109252 0.275094598 0.62073366 0.34751892 0.518737767 0.741455075 0.527481075 0.54662476