Displaying 6 results from an estimated 6 matches for "mousy0815".
2011 Jul 13
1
exponent function help??
I'm trying to make a function that will output the exponent... so f2(2,2) = 4
and f2(2,3)=8. But I don't want to just use the x^n function, I want to do
it another way, and without a recursion. I did the follow code but for some
reason it doesn't work. Help please?
f2 <- function(x, n) #without recursion {
y <- 1
if (n==0) {return(1)} else {
if (length(y) < (n+1) {
y
2011 Aug 17
1
Why does the graph converge?
I have a set of functions:
Probability <- function(N, f, w, b, l, n, q) {
#N is the number of lymph nodes
#f is the fraction of Dendritic cells (in the correct node) that have the
antigen
#w is time in terms of hours
#b is the starting position (somewhere in the node or somewhere in the gap
between nodes. It is a number between 1 and (x+t))
#q is the length of the time step
#l is the LN
2011 Jul 23
2
An infinite recursion error please explain!
Probability <- function(N, f, w, b, y, t, q) {
#N is the number of lymph nodes
#f is the fraction of Dendritic cells (in the correct node) that have the
antigen
#w is time in terms of hours
#b is the starting position (somewhere in the node or somewhere in the gap
between nodes. It is a number between 1 and (x+t))
#y is the number of time steps it takes to traverse the gap (8hr/y)
#t is
2012 Jun 12
1
Analyzing large files faster
I'm trying to analyze the following data set (sample):
"ID" "adj.P.Val" "logFC" "Gene.symbol"
"1419156_at" "5.32e-12" "2.6462565" "Sox4"
"1433575_at" "5.32e-12" "3.9417089" "Sox4"
"1428942_at" "2.64e-11"
2011 Jul 11
1
Summation resulting in a list?
Probability <- function(N, f, m, b, x, t) {
#N is the number of lymph nodes
#f is the fraction of Dendritic cells (in the correct node) that have the
antigen
#m is the number of time steps
#b is the starting position (somewhere in the node or somewhere in the gap
between nodes. It is a number between 1 and (x+t))
#x is the number of time steps it takes to traverse the gap
#t is the number
2011 Jul 12
1
Explain how it gets back out?
Probability <- function(N, f, m, b, x, t) {
#N is the number of lymph nodes
#f is the fraction of Dendritic cells (in the correct node) that have the
antigen
#m is the number of time steps
#b is the starting position (somewhere in the node or somewhere in the gap
between nodes. It is a number between 1 and (x+t))
#x is the number of time steps it takes to traverse the gap
#t is the number