Description Usage Arguments Value Author(s) Examples
This function creates QC plots of MS1 intensity data
1 2 3 | plotQC_ISTD(data, endogene_lipid_db, ISTD_lipid_db,
userSpecifiedColnames = NULL, pathToOutput = "", blnkReplicates = FALSE,
numberOfReplicates)
|
data |
data formatted by the use of the mergeDataSet function from LipidQ. |
endogene_lipid_db |
the endogene lipid database |
ISTD_lipid_db |
the ISTD lipid database |
userSpecifiedColnames |
the column names template file containing user specified column names for the input data. |
pathToOutput |
the directory path to save the plots |
blnkReplicates |
logical parameter for specifying whether the blank sample contains replicates or not. FALSE: no replicates, TRUE: replicates. |
numberOfReplicates |
the number of replicates for each sample |
barplots of every ISTD which includes all samples as well as one barplot of all ISTD with median sample intensity value
André Vidas Olsen
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # load endo & ISTD databases as well as user specified column names file.
endogene_lipid_db <- read.table(system.file("extdata/dataTables/checks",
"endogene_lipid_db.csv", package = "lipidQ"), stringsAsFactors = FALSE,
header = TRUE, sep = ",")
ISTD_lipid_db <- read.table(system.file("extdata/dataTables/checks",
"ISTD_lipid_db.csv", package = "lipidQ"), stringsAsFactors = FALSE,
header = TRUE, sep = ",")
userSpecifiedColnames <- read.table(system.file("extdata/LipidQ_DataBase",
"userSpecifiedColnames.csv", package = "lipidQ"),
stringsAsFactors = FALSE, header = TRUE, sep = ",")
# load is sorted mergedDataSet made by using the mergeDataSets() function
mergedDataSetsIsSorted <- read.table(system.file("extdata/dataTables/checks",
"mergedDataSets.csv", package = "lipidQ"),
stringsAsFactors = FALSE, header = TRUE, sep = ",")
# create QC plot of ISTD's
plotQC_ISTD(data = mergedDataSetsIsSorted,
endogene_lipid_db = endogene_lipid_db, ISTD_lipid_db = ISTD_lipid_db,
userSpecifiedColnames = userSpecifiedColnames,
pathToOutput = "",
blnkReplicates = TRUE, numberOfReplicates = 1)
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