similar to: Intersection of 2 matrices

Hi, Let say I have a normal density X~n(0,1) and I have a line y=0.01x+0.07. the following code generate the plots. x=seq(-10,10,length=100) plot(x,p1,type='n',ylab="Density",main="Overlap Measure",xaxt="n",yaxt="n") pi=dnorm(x,0,1) points(x,p1,type='l') abline(0.07,0.01) you can see that the curves intersects at 3 points. My question is

Hi, Sorry for the very short explanation about the problem of intersection. I have a wave function monitored from the heart beat in a particular interval of times.?Apart?fom that, there is?a line with positive slope (e.g: y = x+2) which lies across the wave and intersect on a number of points. My problem is i have no exact equation for?such a?complex harmonic wave produced by the heart

Hi, I have two matrices as follow: matrix A = a=matrix(c(c("abc","abc","bcd","bcd","bce","bce"),c("a1","d2","d1","d2","a1","a2")),6,2) and matrix B which contains pair of values : b=matrix(c(c("a1","a1"),c("a2","d2")),2,2) In short,

Hello, I need to do an intersection between the list elements (partitionslist) and the columns and rows of a matrix (mm), so that the result will be the sums of the rows and columns. Thanks a lot, Romildo Martins Example 1.The Intersection and sum betweeen partitionslist[[1]][[2]] and mm is indicated in bold. 2.The Intersection and sum betweeen partitionslist[[1]][[2]] and mm is indicated in

When the coalescer is run with -join-cross-class-copies it needs to determine the register class of the joined virtual registers. The new register class must be compatible with both old register classes. The current implementation chooses the register class with the larger spill size, or the less populous class. This works with the current targets, but it can produce illegal machine code

Hi, I want to merge multiple chromosomal regions based on their common intersecting regions. I tried couple of things using while and if loops but did not work out. I would appreciate if anyone could provide me a small piece of code in R to get the intersection of following example: chr1: 100-150 chr1: 79-250 chr1: 100-175 chr1: 300-350 I want the intersection of all four regions as follow:

Hi, I would like to find out the coordinates of the intersection points of 2 density curves. I did a search but i didn't get any significant results. I really hope some of you have some ideas. here it is an example: set.seed(123) x1 <- rnorm(100, 1, 1) x2 <- rnorm(100, 0, 1) d1 <- density(x1) d2 <- density(x2) plot(d1, col = 2) lines(d2, col = 4) Now i would like to know

Hello sir: group1:1,2,3,4 group2:1,3,4,5 group3:2,4,8,9 .. ... group1000:9,3,8,2 I wanna get the "intersection set" and "union set". I've tried command "setdiff"and "union",but only two groups is permited.How can I deal with multi groups to find the "intersection set" and "union set"? Thanks a lot! My best

v1<-c("a","b","c","d") v2<-c("a","b","e") v3<-c("a","f","g") I want to get the intersection of v1,v2,v3,ie "a" How can I do then? What I know is only for 2 vectors via "intersect" function,but don't know how to deal with multiple vectors. Many thanks

Hello, This code builds a simple example of 2 wireframes : require(lattice) x <- c(1:10) y <- c(1:10) g <- expand.grid(x = 1:10, y = 1:10, gr = 1:2) g$z <- c(as.vector(outer(x,y,"*")), rep(50,100)) wireframe(z ~ x * y, data = g, groups = gr, scales = list(arrows = FALSE)) However, the intersection between the wireframes is not properly drawn. Is there a way to fix this

Dear All, I'm looking an appropriate way in R to compute/estimate? points of intersection between a line and a curve and will really appreciate for any suggestion or ideas? Thank you, Fir

All, Very basic question I can't seem to find the answer to: plot(0:10, 0:10) The axes intersection is not aligned at (0,0) in the lower left. How does one force this? I searched for graphical parameters under par(graphics) but can't seem to find it. Thanks! David

Hi everyone, ? I am trying to get a point of intersection between a polyline and a straight line ?.. and get the x and y coordinates of this point. For exemplification consider this: ? ? set.seed(123) ? k1 <-rnorm(100, mean=1.77, sd=3.33) ?k1 <- sort(k1) q1 <- rnorm(100, mean=2.37, sd=0.74) q1 <- sort(q1, decreasing = TRUE) plot(k1, q1, xlim <- c((min(k1)-5),

I've got two tables.... first one(table1): ID chrom start end Ex1 2 152 180 Ex2 10 2000 2220 Ex3 15 3000 4000 second one ( table2): chrom location name 2 160 Alv 2 190 GNN 2 100

Does anyone know of a method that I can get the intersection where the red and blue curves meet i.e. the value on the x-axis? x <- 1:10 y <- 10:1 plot(x,y) abline(lm(y~x),col="blue") abline(h=2.5,col="red") Muhammad

Hi, Suppose I have two vectors, not necessarily the same length (in fact, they usually are different lengths): y.1 that has increasing values between 0 and 1; y.2 that has decreasing values between 1.0 and 0. You can picture these as being supply (= y.1) and demand (= y.2) curves from economics. I typically plot these vectors on the same graph against a common x variable, which happens to

Hi, Algorithm question: I have two sets of "intervals", where an interval is an ordered pair [a,b] of two numbers. Is there an efficient way in R to generate the intersection of two lists of same? For concreteness: I'm representing a set of intervals with a data.frame: > list1 = as.data.frame(list(open=c(1,5), close=c(2,10))) > list1 open close 1 1 2 2 5

Dear all, I have a problem that may be someone of you can help. I am a newbie and do not find how to do it in manuals. I have two arrays, for example: ar1 <- array(data=c(1:16),dim=c(4,4)) ar2 <- array(data=c(1:16),dim=c(4,4)) colnames(ar1)<-c("A","B","D","E") colnames(ar2)<-c("C","A","E","B") > ar1

I was wondering if there were any R packages supporting fast set intersection. I am aware of base::intersection, bit::`&`, and set::set_intersection, each of which has its advantages. base::intersection is space-efficient and accepts arbitrary unsorted lists of arbitrary base types. set::set_intersection is very fast but requires space and time proportional to the size of the universe, a

Hi, Previously I posted a thread asking help on how to best-fit (in the least squares sense) a straight line through a set of data points. Thanks a lot to all replying to it. I managed it in Matlab using a function 'fit_3D_data' (link: http://webscripts.softpedia.com/script/Scientific-Engineering-Ruby/Statistics-and-Probability/Orthogonal-Linear-Regression-in-3D-space-35532.html). But to