View source: R/class-OutriderDataSet.R
makeExampleOutriderDataSet | R Documentation |
Creates an example data set from a file or simulates a data set based on random counts following a negative binomial distribution with injected outliers with a fixed z score away from the mean of the gene.
makeExampleOutriderDataSet(
n = 200,
m = 80,
q = 10,
freq = 0.001,
zScore = 6,
inj = c("both", "low", "high"),
sf = rnorm(m, mean = 1, sd = 0.1),
dataset = c("none", "GTExSkinSmall", "KremerNBaderSmall")
)
n |
Number of simulated genes |
m |
Number of simulated samples |
q |
number of simulated latend variables. |
freq |
Frequency of in-silico outliers |
zScore |
Absolute z score of in-silico outliers (default 6). |
inj |
Determines whether counts are injected with the strategy ('both', 'low', 'high'), default is 'both'. |
sf |
Artificial Size Factors |
dataset |
If "none", the default, an example data set is simulated. One can also use example data set included in the package by specifying 'GTExSkinSmall' or 'KremerNBaderSmall' |
An OutriderDataSet containing an example dataset. Depending on the parameters it is based on a real data set or it is simulated
# A generic dataset
ods1 <- makeExampleOutriderDataSet()
ods1
# A generic dataset with specificed sample size and injection method
ods2 <- makeExampleOutriderDataSet(n=200, m=50, inj='low')
ods2
# A subset of a real world dataset from GTEx
ods3 <- makeExampleOutriderDataSet(dataset="GTExSkinSmall")
ods3
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