## ----------------------------------------------------------------------------- library(racir) ## ----------------------------------------------------------------------------- data <- read_6800(system.file("extdata", "cal", package = "racir")) ## ----fig.height = 4, fig.width = 6-------------------------------------------- #Read in the file data <- read_6800(system.file("extdata", "cal", package = "racir")) #Run calibration check racircalcheck(data = data) ## ----fig.height = 4, fig.width = 6-------------------------------------------- #Read in the file data <- read_6800(system.file("extdata", "cal", package = "racir")) #Run calibration check racircalcheck(data = data, mincut = 350, maxcut = 780) #If using the interval option, use the following function. See below #for more detailed description racircalcheck_advanced(data = data, mincut = 350, maxcut = 780) ## ----fig.height = 4, fig.width = 6-------------------------------------------- data <- read_6800(system.file("extdata", "poplar_2", package = "racir")) caldata <- read_6800(system.file("extdata", "cal", package = "racir")) data_corrected <- racircal(data = data, caldata = caldata, mincut = 350, maxcut = 780) ## ----fig.height = 4, fig.width = 6-------------------------------------------- data <- read_6800(system.file("extdata", "poplar_2", package = "racir")) caldata <- read_6800(system.file("extdata", "cal", package = "racir")) data_corrected <- racircal_advanced(data = data, caldata = caldata, mincut = 350, maxcut = 780, digits = -2) ## ----fig.height = 4, fig.width = 6-------------------------------------------- #Create a list of files files <- c(system.file("extdata", "poplar_1", package = "racir"), system.file("extdata", "poplar_2", package = "racir")) data <- vector("list", length(files)) for(i in seq_along(files)){ data[[i]] <- read_6800(files[i]) names(data)[i] <- files[i] } caldata <- read_6800(system.file("extdata", "cal", package = "racir")) #Batch calibration with normal algorithm output <- racircalbatch(caldata = caldata, data = data, mincut = 350, maxcut = 780, title = files) #Batch calibration with advanced algorithm output <- racircalbatch_advanced(caldata = caldata, data = data, mincut = 350, maxcut = 780, title = files) #To compile outputs from list to data frame: output <- do.call("rbind", output)