Open tjmahr opened 8 years ago
tjmahr
commented
8 years ago tjmahr
commented
8 years ago It looks like the trial-level data are in the PracItemsProc and TestItemsProc frames. I need to know what the variables in those parts mean.
Level Counts:
Eprime.Level Running Procedure freq
1 Header Header 1
3 InstructionsList InstructionsProc 9
3 ItemList PracItemsProc 4
2 TaskList PracticeProc 1
3 ItemList TestItemsProc 40
2 TaskList TestProc 1
1 <NA> <NA> 1
Eprime.Level Running Procedure
3 ItemList TestItemsProc
List of 27
$ Eprime.Level : num 3
$ Eprime.LevelName : chr "ItemList_25"
$ Eprime.Basename : chr "FishFlanker_001L53FS5"
$ Eprime.FrameNumber : chr "16"
$ Procedure : chr "TestItemsProc"
$ Running : chr "ItemList"
$ StimType : chr "Fish"
$ FixationDur : chr "1464"
$ TaskPart : chr "Fish"
$ PartItem : chr "1"
$ Congruency : chr "con"
$ TargetDir : chr "left"
$ CorrectAnswer : chr "LEFTARROW"
$ Number : chr ""
$ Cycle : chr "3"
$ Sample : chr "5"
$ SoundVolume : chr "0"
$ ISI.OnsetDelay : chr "29"
$ Fixation.OnsetDelay: chr "0"
$ Cue.OnsetDelay : chr "2"
$ Flankers.OnsetDelay: chr "0"
$ Target.OnsetDelay : chr "0"
$ Target.RTTime : chr "237884"
$ Target.ACC : chr "1"
$ Target.RT : chr "1790"
$ Target.RESP : chr "LEFTARROW"
$ Target.CRESP : chr ""It looks like the important stuff are these fields
> df %>% select(Eprime.Basename, StimType:CorrectAnswer, Target.ACC:Target.CRESP) %>% filter(!is.na(StimType))
Source: local data frame [6,068 x 12]
Eprime.Basename StimType FixationDur TaskPart PartItem Congruency TargetDir CorrectAnswer Target.ACC Target.RT Target.RESP Target.CRESP
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 FishFlanker_001L53FS5 Fish 1460 Practice 1 con right RIGHTARROW 1 3815 RIGHTARROW
2 FishFlanker_001L53FS5 Fish 1219 Practice 2 con left LEFTARROW 1 981 LEFTARROW
3 FishFlanker_001L53FS5 Fish 1501 Practice 3 inc right RIGHTARROW 1 2673 RIGHTARROW
4 FishFlanker_001L53FS5 Fish 1032 Practice 4 inc left LEFTARROW 0 4619 RIGHTARROW
5 FishFlanker_001L53FS5 Fish 1464 Fish 1 con left LEFTARROW 1 1790 LEFTARROW
6 FishFlanker_001L53FS5 Fish 1473 Fish 2 con right RIGHTARROW 1 2573 RIGHTARROW
7 FishFlanker_001L53FS5 Fish 1155 Fish 3 inc right RIGHTARROW 1 4708 RIGHTARROW
8 FishFlanker_001L53FS5 Fish 1068 Fish 4 con left LEFTARROW 0 1344 RIGHTARROW
9 FishFlanker_001L53FS5 Fish 1476 Fish 5 inc right RIGHTARROW 1 6178 RIGHTARROW
10 FishFlanker_001L53FS5 Fish 1313 Fish 6 con right RIGHTARROW 1 1610 RIGHTARROW
11 FishFlanker_001L53FS5 Fish 1308 Fish 7 con left LEFTARROW 1 8231 LEFTARROW
12 FishFlanker_001L53FS5 Fish 1067 Fish 8 inc left LEFTARROW 1 4151 LEFTARROW
13 FishFlanker_001L53FS5 Fish 1352 Fish 9 con left LEFTARROW 0 0 NORESP
14 FishFlanker_001L53FS5 Fish 1300 Fish 10 inc left LEFTARROW 1 5958 LEFTARROW
15 FishFlanker_001L53FS5 Fish 1294 Fish 11 con right RIGHTARROW 1 1294 RIGHTARROW
.. ... ... ... ... ... ... ... ... ... ... ... ...With these columns, we have enough information to reconstruct the screen of the trial, assumng five fish in a flank :fish:
Source: local data frame [8 x 4]
StimType Congruency TargetDir Display
<chr> <chr> <chr> <chr>
1 Fish con right ><(((('> ><(((('> ><(((('> ><(((('> ><(((('>
2 Fish con left <'))))>< <'))))>< <'))))>< <'))))>< <'))))><
3 Fish inc right <'))))>< <'))))>< ><(((('> <'))))>< <'))))><
4 Fish inc left ><(((('> ><(((('> <'))))>< ><(((('> ><(((('>
5 Arrow con left <- <- <- <- <-
6 Arrow con right -> -> -> -> ->
7 Arrow inc right <- <- -> <- <-
8 Arrow inc left -> -> <- -> -> Questions
summary(as.numeric(df$Target.RT))
#> Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
#> 0 1429 1904 2456 2950 30060 2067 