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This fixed my problem thanks. -- View this message in context: http://r.789695.n4.nabble.com/problems-with-ifelse-tp3658498p3658543.html Sent from the R help mailing list archive at Nabble.com.

try something like: cat("\n","Enter your number","\n") # prompt y<-scan(n=1) #scans the line before ? perhaps? -- View this message in context: http://r.789695.n4.nabble.com/user-input-tp3660993p3661031.html Sent from the R help mailing...

edit: I fixed it; apparently I needed to change the ceiling(w/q) to w%/%q, though I'm not really sure why that made such a difference. -- View this message in context: http://r.789695.n4.nabble.com/An...

Use the tapply() function as in tapply(b,m,sum) HTH, Daniel Don't "b" and "m" have to be the same length then? What if they're not? And would I just put the tapply() instead of everything else...

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...

Well I didn't expect it to converge because the first three lines (black, orange and turquoise) didn't converge. I was trying to find a condition in which it would be more efficient for T cells to spend less...

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" "3.9163618...

I have the following code to determine the probability of a t-cell encountering an antigen after "m" steps. probability <- function(N, f, m, b, x, t) { #using ifelse instead of if/else #N is the number of lymph nodes...

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...

In response to the second question about the placement of D<=t, there are two instances of it: once after the comment "starts inside node" (After the line with the comment "start & end in first node") and one after "starts...

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...

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...

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...