knitr::opts_chunk$set(echo = TRUE)
This script downloads and re-formats example data for spillover correction. As test data, we use the files that are provided by the following publication:
They can be accessed from https://data.mendeley.com/datasets/v58yj49pfr/1.
More specificaly, the spillover files are part of Figure S5
.
Here, we will first download the data.
sm_url <- "https://data.mendeley.com/public-files/datasets/v58yj49pfr/files/b39223d2-2825-4e79-9875-86fa0e1c55d2/file_downloaded?dl=1" download.file(sm_url, "Figure_S5.zip") unzip("Figure_S5.zip", overwrite=TRUE) unlink("Figure_S5.zip")
We will now prepare a subsample of the data for testing purposes:
library(readr) library(stringr) full_txt <- list.files("Figure_S5/Spillover_Matrix_1/", pattern = "Dy161|Dy162|Dy163|Dy164", full.names = TRUE) full_txt_names <- list.files("Figure_S5/Spillover_Matrix_1/", pattern = "Dy161|Dy162|Dy163|Dy164") full_txt_names <- str_extract(full_txt_names, "^Dy[1-9]{3}") full_txt <- lapply(full_txt, read_delim, delim = "\t") ## Subset to first 100 rows full_txt <- lapply(full_txt, function(x){x[seq_len(100),]}) ## Subset to specific channels full_txt <- lapply(full_txt, function(x){x[,colnames(x) %in% c("Start_push", "End_push", "Pushes_duration", "X", "Y", "Z", "161Dy(Dy161Di)", "162Dy(Dy162Di)", "163Dy(Dy163Di)", "164Dy(Dy164Di)")]})
We will now save the processed files.
dir.create("../extdata/spillover") for (i in seq_len(length(full_txt))) { write_delim(full_txt[[i]], file = paste0("../extdata/spillover/", full_txt_names[i], ".txt"), delim = "\t") }
Finally, we remove all unneeded files:
unlink("Figure_S5/", recursive = TRUE)
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