dummyData | R Documentation |
This function generates a small dummy dataset representing samples from two different groups (cases and controls) that is used in bumphunter examples.
dummyData(n1 = 5, n2 = 5, sd = 0.2, l = 100, spacing = 100,
clusterSpacing=1e5, numClusters=5)
n1 |
Number of samples in group 1 (controls) |
n2 |
Number of samples in group 2 (cases) |
sd |
Within group standard deviation to be used when simulating data |
l |
The number of genomic locations for which to simulate data |
spacing |
The average spacing between locations. The actual locations have a random component so the actual spacing will be non-uniform |
clusterSpacing |
The spacing between clusters. (Specifically, the spacing between the first location in each cluster.) |
numClusters |
Divide the genomic locations into this number of
clusters, each of which will contain locations spaced |
A list containing data that can be used with various bumphunter functions.
mat |
A simulated data matrix with rows representing genomic locations and columns representing samples. |
design |
Design matrix with rows representing samples and columns representing covariates. |
chr |
A character vector with the chromosomes of each location. |
pos |
A numeric vector representing the chromosomal position. |
cluster |
A vector representing the cluster of each locations |
n1 |
Number of samples in cluster 1 |
n2 |
Number of samples in cluster 2 |
Martin J. Aryee
dat <- dummyData()
names(dat)
head(dat$pos)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.