This function analyzes ordered data series to identify regional biases using an moving (running) approximated binomial test.

1 |

`v` |
data vector |

`span` |
numeric vector. Each element is used to define
the number of points to include when the approximated binomial test
is applied to |

`summarize` |
function that is used to summarize the results from
multiple spans. if NULL, a matrix with |

`movbin`

applies a moving binomial test to sequential windows of
elements of `v`

. Within each span a z-score from an approximated
binomial is computed such that `z=(2*r - n)/sqrt(n)`

where
`r`

is the number of positive relative gene expression values and
`n`

is the number of non-zero values within each window.

For convenience, this function allows for the specification of multiple
window sizes using the `span`

argument. The result of a
`movbin`

call will generate a matrix with `length(span)`

rows
and `length(v)`

columns. Each row of the matrix represents the
data generated from each span. This matrix can be returned or the matrix
from can be condensed to a single vector of length v by
applying a summary function `summarize`

to the matrix columns.

Either a matrix or a vector containing the summarized z-scores from the applied binomial test.

Kyle A. Furge, Ph.D., kyle.furge@vai.org and Karl J. Dykema, karl.dykema@vai.org

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ```
x <- c(rnorm(50,mean=1),rnorm(50,mean=-1),rnorm(100))
layout(1:2)
plot(x,type="h",ylim=c(-5,5))
## apply the approximated binomial with a single span
mb <- movbin(x,span=25,summarize=NULL)
lines(mb[1,])
## try a few different span ranges
mb <- movbin(x,span=c(10,25,50),summarize=NULL)
lines(mb[1,]) ## span of 10
lines(mb[2,]) ## span of 25
lines(mb[3,]) ## span of 50
## average the results from the different spans
plot(x,type="h",ylim=c(-5,5))
mb <- movbin(x,span=c(10,25,50),summarize=mean)
lines(mb,col="blue")
mb <- movbin(x,span=c(10,25,50),summarize=median)
lines(mb,col="red")
``` |

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