| .read_somascan {autonomics} | R Documentation |
Read data from somascan adat file
.read_somascan(
file,
fidvar = "SeqId",
sidvar = "SampleId",
sfile = NULL,
sfileby = NULL,
by = NULL,
subgroupvar = "SampleGroup"
)
read_somascan(
file,
fidvar = "SeqId",
sidvar = "SampleId",
sfile = NULL,
sfileby = NULL,
by = NULL,
subgroupvar = "SampleGroup",
fname_var = "EntrezGeneSymbol",
sample_type = "Sample",
feature_type = "Protein",
sample_quality = c("FLAG", "PASS"),
feature_quality = c("FLAG", "PASS"),
rm_na_svars = FALSE,
rm_single_value_svars = FALSE,
pca = FALSE,
fit = NULL,
formula = NULL,
block = NULL,
contrastdefs = NULL,
verbose = TRUE,
plot = TRUE
)
file |
*.adat file path (string) |
fidvar |
featureid fvar (string) |
sidvar |
sampleid svar (string) |
sfile |
sample file |
sfileby |
sample file mergeby column |
by |
metabolon file mergeby column |
subgroupvar |
subgroup svar (string) |
fname_var |
featurename fvar (string) |
sample_type |
subset of c('Sample','QC','Buffer','Calibrator') |
feature_type |
subset of c('Protein', 'Hybridization Control Elution', 'Rat Protein') |
sample_quality |
subset of c('PASS', 'FLAG', 'FAIL') |
feature_quality |
subset of c('PASS', 'FLAG', 'FAIL') |
rm_na_svars |
whether to rm NA svars |
rm_single_value_svars |
whether to rm single value svars |
pca |
whether to pca |
fit |
fit model: NULL, 'limma', 'lm', 'lme', 'lmer','wilcoxon' |
formula |
design formula (using svars) |
block |
block var |
contrastdefs |
contrastdef vector/matrix/list |
verbose |
whether to msg |
plot |
whether to plot |
Summarizedexperiment
file <- download_data('atkin18.somascan.adat')
read_somascan(file, pca = TRUE, fit = 'limma', block = 'Subject_ID')