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March 6, 2018 15:46
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Convert wide format fixation report to long format samples
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library(tidyverse) | |
## toy fixation report | |
fixations <- tibble(fixidx=as.integer(1:3), start=c(100,250,372), end=c(202, 348, 426), | |
x=sample(0:1000,3), y=sample(0:1000,3)) | |
## convert to long format | |
fixations <- fixations %>% | |
gather(start, end, -c(fixidx,x,y)) %>% | |
arrange(fixidx) %>% | |
rename(event=start, time=end) | |
## assume 500hz sample rate | |
samples <- tibble(time=seq(min(fixations$time), max(fixations$time), by=2)) | |
## expand events to samples and do some fixup | |
sample_report <- samples %>% left_join(fixations, "time") %>% | |
fill(fixidx, event, x, y) %>% | |
group_by(fixidx,event) %>% | |
mutate(evt=ifelse(row_number()==1, "start",event)) %>% | |
ungroup() %>% | |
mutate(x=ifelse(evt=="start", x, NA), y=ifelse(evt=="start", y, NA), | |
event=ifelse(evt=="start", "fixation", NA)) %>% | |
select(-evt) | |
## In the event that there are multiple trials in a data.frame, then things are a bit more complicated. | |
## It becomes necessary to compute sample vectors on a per-trial basis. | |
## The left_join then looks like: " left_join(report_l, c("TRIAL_INDEX", "time")) %>% " | |
trials <- tibble(idx = 1:3, stime = 2, etime = c(20,40,30)) | |
samples <- trials %$% | |
map2(stime, etime, seq, by=2) %>% | |
map(data.frame) %>% | |
map(rename_all, function(x) "time") %>% | |
bind_rows(.id="TRIAL_INDEX") |
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