From 56a958f8cede6a1c38397742468a530c382ae241 Mon Sep 17 00:00:00 2001 From: Jiazhou Chen Date: Tue, 30 Oct 2018 15:35:28 -0400 Subject: [PATCH 1/2] update! overhaul; new way of looping through trial! --- pie_utility.R | 107 +++++++++++++++++++++++++------------------------- 1 file changed, 54 insertions(+), 53 deletions(-) diff --git a/pie_utility.R b/pie_utility.R index 84a15c9..20c7faf 100644 --- a/pie_utility.R +++ b/pie_utility.R @@ -115,76 +115,77 @@ pie_getdata<-function(boxsyncpath=NULL){ } pie_preproc<-function(ss_pie_raw=NULL,filter_freechoice=T,only_firstfree=F,usemeanprior=F){ - #print(unique(ss_pie_raw$ID)) + print(unique(ss_pie_raw$ID)) numseg<-max(ss_pie_raw$num_segments) ss_pie_scon<-split(ss_pie_raw,ss_pie_raw$con_num) indexsx<-rbind(data.frame(segnum=1:numseg,type="samplehx"), - data.frame(segnum=1:numseg,type="rewardhx"), + #data.frame(segnum=1:numseg,type="rewardhx"), + data.frame(segnum=1:numseg,type="v_bayes"), data.frame(segnum=1:numseg,type="choice")) indexsx$variname<-paste0(indexsx$type,indexsx$segnum) + commenvir<-as.environment(list()) + assign("vbayvars",indexsx$variname[indexsx$type=="v_bayes"],envir = commenvir) + assign("samplehxvars",indexsx$variname[indexsx$type=="samplehx"],envir = commenvir) + assign("choicevars",indexsx$variname[indexsx$type=="choice"],envir = commenvir) + ss_proc<-do.call(rbind,lapply(ss_pie_scon,function(sx){ - tw1<-as.data.frame(as.list(rep(1/unique(sx$num_segments),1*numseg))) - names(tw1)<-indexsx$variname[indexsx$type=="rewardhx"] - tw2<-as.data.frame(as.list(rep(0,2*numseg))) - names(tw2)<-indexsx$variname[indexsx$type!="rewardhx"] - tw<-cbind(tw1,tw2) - sxw<-merge(sx,tw,all = T) - sxw$samphx<-NA - sxw$rewhx<-NA - sxw<-sxw[which(sxw$RT!=0),] - for (i in sxw$trial) { + #Okay REDESIGN!!!! + sxw<-sx[which(sx$RT!=0),] + + ext<-lapply(sxw$trial,function(i){ #print(i) + storaget<-as.environment(list()) + segchoice<-sxw[i,"selected_segment"] segrwad<-sxw[i,"win"] - samplevar<-indexsx$variname[indexsx$type=="samplehx" & indexsx$segnum==segchoice] - rewvar<-indexsx$variname[indexsx$type=="rewardhx" & indexsx$segnum==segchoice] - choicevar<-indexsx$variname[indexsx$type=="choice" & indexsx$segnum==segchoice] - if (i==1) { - choice_hx<-0 - rew_hx<-mean(sxw$selected_prob) #Set prior probability here; - sxw[(i),"v_l"]<-1/unique(sx$num_segments) - } else { - choice_hx<-sxw[(i-1),samplevar] - rew_hx<-sxw[(i-1),rewvar] - sxw[(i),"v_l"]<-rew_hx/sum(sxw[(i-1),indexsx$variname[indexsx$type=="rewardhx"]]) - } - #Calculate with bayes learner rule: - nreward<-sum(sxw[1:i,"win"]) - nchoice<-length(which(sxw[1:i,"selected_segment"]==segchoice)) - nchoicegivenrewar<-length(which(sxw[1:i,"selected_segment"]==segchoice & sxw[1:i,"win"]==1)) - ntotal<-i - pcgivenreward<-ifelse(nreward==0,0,(nchoicegivenrewar / nreward)) - if(usemeanprior){ - preward<-mean(sxw$selected_prob)} else {preward<-nreward/ntotal} - sxw[(i),"v_bayes"]<-(pcgivenreward * preward) / (nchoice/ntotal) - #Old calculation - #sxw[(i),"v_bayes"]<-(nchoicegivenrewar / nchoice) - #debug - sxw[c("trial","selected_segment","win","v_bayes")] - sxw[(i),"samphx"]<-choice_hx - sxw[(i),"rewhx"]<-rew_hx + #Current Choice; + choicearray<-rep(0,numseg) + choicearray[segchoice]<-1 + assign("choicearray",choicearray,envir = storaget) + #Past Sample History; + assign("samplehxarray",sapply(1:numseg,function(xj){ + if(i!=1){ + return(length(which(sxw[1:(i-1),"selected_segment"]==xj)))}else{ + return(0) + } + }),envir = storaget) + #Value calculated by bayes rule + assign("vbayarray",sapply(1:numseg, function(y) { + nreward<-sum(sxw[1:i,"win"]) + nchoice<-length(which(sxw[1:i,"selected_segment"]==y)) + nchoicegivenrewar<-length(which(sxw[1:i,"selected_segment"]==y & sxw[1:i,"win"]==1)) + ntotal<-i + pcgivenreward<-ifelse(nreward==0,0,(nchoicegivenrewar / nreward)) + if(usemeanprior){ + preward<-mean(sxw$selected_prob)} else {preward<-nreward/ntotal} + pchoice<-(nchoice/ntotal) + if(pchoice!=0){ + v_bayes <- (pcgivenreward * preward) / pchoice + }else{v_bayes <- 0} + return(v_bayes)}),envir = storaget) - sampleupdate<-choice_hx+1 - rew_update<-(rew_hx+segrwad)/sampleupdate - sxw[(i),samplevar]<-sampleupdate - sxw[(i),rewvar]<-rew_update - sxw[i:length(sxw[[1]]),indexsx$variname]<-sxw[i,indexsx$variname] - sxw[(i),choicevar]<-1 - - } + ext_df<-do.call(cbind,lapply(c("vbay","samplehx","choice"),function(jx) { + arrayx<-as.data.frame(as.list(get(paste0(jx,"array"),envir = storaget)),col.names = get(paste0(jx,"vars"),envir = commenvir)) + selectedx<-as.data.frame(as.list(get(paste0(jx,"array"),envir = storaget)[segchoice]),col.names = paste0(jx,"_selected")) + return(cbind(arrayx,selectedx)) + })) + return(ext_df) + }) + sxw<-cbind(sxw,do.call(rbind,ext)) if(max(sxw$num_segments) < numseg) {sxw[indexsx$variname[indexsx$segnum > max(sxw$num_segments)]]<-NA} if(only_firstfree) { sxw$firstfree<-FALSE sxw$firstfree[max(sxw$num_segments)+1]<-TRUE } - sxw$u_l<-sxw$samphx/(sxw$trial-1) - for (ix in c(indexsx$variname,"samphx","rewhx")) { - d<-sxw[,ix] - sxw[paste0(ix,"_lag")]<-dplyr::lag(d) - sxw[paste0(ix,"_lead")]<-dplyr::lead(d) - } + sxw$u_l<-1-(sxw$samplehx_selected/(sxw$trial-1)) + # for (ix in c(indexsx$variname,"samphx","rewhx")) { + # d<-sxw[,ix] + # sxw[paste0(ix,"_lag")]<-dplyr::lag(d) + # sxw[paste0(ix,"_lead")]<-dplyr::lead(d) + # } + #print(length(sxw)) return(sxw) })) From 6eec825ba1c093b241a56e0b3f9f6ba57089cf0f Mon Sep 17 00:00:00 2001 From: Jiazhou Chen Date: Tue, 30 Oct 2018 15:37:04 -0400 Subject: [PATCH 2/2] update data --- pie_data.rdata | Bin 1028248 -> 512258 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/pie_data.rdata b/pie_data.rdata index eb889c3c234c528f8586fa7adbb09ef1303f0ea4..81b7f4cbc0b2c114fb61e34bbfbf3c84989c1b8b 100644 GIT binary patch delta 382523 zcmb@tcT^Ky*Ef7ADk=(>f^>+82nd3LNDUED5KyXubODtnT}mh!5d{GOrAv$SCcT#s zkPgy&OMn2Og%AP>5R!cA{k_k7x95*_6Ihp<2NnB8VmjQbF{#fPl 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