Description Usage Arguments Value Examples
View source: R/racircalbatch_advanced.R
racircalbatch_advanced
Corrects your RACiR data files based on a
calibration file. Produces diagnostic graphs of A vs. Ci for quality
control. Output includes a list of data frames with corrected data.
1 2 3 4 5 6 7 8 9 | racircalbatch_advanced(
caldata,
data,
mincut,
maxcut,
digits,
title,
varnames = list(A = "A", Ca = "Ca", CO2_r = "CO2_r", E = "E", gtc = "gtc")
)
|
caldata |
Data frame with the calibration data |
data |
List of data frames with the RACiR response data |
mincut |
Minimum cutoff value for reference CO2 (CO2_r). Used to cut out the data from the initial chamber mixing. Default value is set to the minimum COR_r value. |
maxcut |
Maximum cutoff value for reference CO2 (CO2_r). Used to cut out the data from the end of the response. Not needed in all cases. Default value is set to the maximum COR_r value. |
digits |
Specifies rounding for groups. Defaults to -2 (100s). Effectively uses 100 ppm intervals (e.g. data matching >50 ppm to 150 ppm would be assigned to an interval centered around 100 ppm for reference CO2). |
title |
Vector for titles of output graph - useful for batch RACiR corrections. Length must be equal to data list length |
varnames |
Variable names - this allows for the use of this code with other machines and setups where variable names may differ. |
racircalbatch_advanced uses racircal_advanced on many files
1 2 3 4 5 6 7 8 9 10 11 12 | #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"))
output <- racircalbatch_advanced(caldata = caldata, data = data,
mincut = 300, maxcut = 780, title = files)
|
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