Nothing
#' Obtain window information
#'
#' Calculate window positions to perform LOH calculation
#' @name lohSpec_windowPosition
#' @param out object of class dataframe with columns 'chromosome',
#' 'position', 'n_vaf', 't_vaf', and 'sample'
#' @param step integer with the length of divisions (bp) in chromosomes
#' @param window_size integer with the size of the sliding window (bp) to be
#' applied
#' @return list containing window start/stop positions for each chromosome
#' from each sample to perform LOH calculations
#' @noRd
lohSpec_windowPosition <- function(out, step, window_size)
{
window <- lapply(out, function(x) {
## Calculate the number of windows necessary for each list
min <- integer()
max <- integer()
window_stop_1 <- integer()
window_num <- integer()
min <- as.integer(min(as.numeric(as.character(x$position))))
max <- as.integer(max(as.numeric(as.character(x$position))))
window_stop_1 <- min+window_size
num <- as.integer((max-min)/step)
num <- as.vector(1:num)
window_data_start <- vector()
window_data_stop <- vector()
## Calculate exact window positions
window_data <- lapply(num, function(x){
window_data_start[x] <- as.integer(min+(step*(x-1)))
window_data_stop[x] <- as.integer(window_stop_1+(step*(x-1)))
window_data <- cbind(window_data_start[x], window_data_stop[x])
return(window_data)
})
window_data <- plyr::ldply(window_data, data.frame)
# Get window positions whose values are below max & set max as the
# final window position (end of the chromosome)
colnames(window_data) <- c("window_start", "window_stop")
window_final <- window_data[window_data$window_stop <= max,]
window_final[nrow(window_final), 2] <- max
return(window_final)
})
return(window)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.