similar to: Calculate number of elements in a MECE intersection of x vectors where the total number of vectors is n

How do I calculate the confidence interval for the value x given by the intersection of two quadratics (i.e. parabolas)? I fit two quadratics of the form: y = C1 + B1*x + A1*x^2 y = C2 + B2*x + A2*x^2 to two sets of points N1 and N2. I test for whether they intersect, if they do then I calculate the roots of: 0 = (C1 - C2) + (B1 - B2)*x + (A1 - A2)*x^2 to determine where they intersect

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

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

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

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, 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 all, As far as I can tell, the only canned way to do an intersect between two vectors of ints is the intersect(vec1, vec2) function -- is there another function I'm missing for intersecting more than two vectors?? TIA, Ken

useR's, First, I would like to say thanks to John Fox for providing this segment of code to perform intersection for multiple sets: intersection <- function(x, y, ...){ if (missing(...)) intersect(x, y) else intersect(x, intersection(y, ...)) } I want to execute this function on the rows of a matrix I have: Ik.mat.test <- matrix(c(2,3,6,1,2,6,6,1,2),byrow=T,nrow=3) > Ik.mat.test

> intersect(c(1,3,2),c('1','3')) [1] "1" "3" Apparently, intersect() treats num as string. But this is not documented in the help. Could somebody add it in the future version of R? Also according to the help, the argument should not have duplicated elements. But I tried the following example, it seems that it doesn't matter where there are duplicated

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. I have a problem with 2 dataframes. There are 2 columns - "value" and "dates". These dataframes have different dimension. Some dates coincide. And I need to intersect them by dates and have on output two dataframes with identical columns "dates" and new dimension . "value" have to recieve in compliance with dates. Regards, Aleksander. [[alternative

Hi, I'm a beginner with R. I have two different  tables with the variable name dmr1 and tp2 a given following. v1 is the common  column  field of the both tables. In the first table column v3 is always v2+1 while in the second table v2 and v3 hold the range. I want to know which rows of tb1 intersect with the range between v2 and v3 of tb3. I need some one's kind help to solve this

Hi I have probably a very simple question but I'm going crazy trying to find the solution. I have two data.frames with headers and I'm doing an intersection between them by names, such that the intersected data.frames are returned by: df1[intersect(names (df1), names(df2))] and the same for df2 Now, I want to have all the opposite data that did not intersect. I tried to do:

Hi all, The ?intersect entry kindly points out that it discards duplicate entries. I'm looking, however, to get the intersection while KEEPING duplicate entries, and there are no instructions on how to accomplish this using intersect(). Does anybody have any idea how this might be done, or am I going to need to program something from scratch (something like ordering the vectors and then

Hi all, I don't know if this is the correct venue for this question, but I am sure that someone will correct me if I am in the wrong list. I have been searching throughout R for a function that can find the intersection of multiple sets of "things". Say for instance, I have a list of $n$ character vectors and would like to find the intersection of all $k$ subsets. I don't

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

Dear list: I am trying to calculate the intersection area between two irregular polygons (see example data below). set.seed(1234) theta <- seq(0, 2 * pi, length=(100)) poly1<- cbind(c(0 + 1 * cos(theta) + rnorm(100, sd=0.1)), c(0 + 2 * sin(theta))) poly2<- cbind(c(0 + 2 * cos(theta) ), c(-1 + 1.5 * sin(theta)+ rnorm(100, sd=0.1))) plot(x, y, type = "n", ,

Hi everyone, I am pretty new to R, so be patient. I am trying to intersect 2 columns and in the rows that intersect, I want information from the 3rd column to be brought with it. I think it will be easier to explain with an example example.csv <http://r.789695.n4.nabble.com/file/n4675136/example.csv> . In my example, I have a reference list of fruit (first column), and my fruit of

Hi, Is there a command to get the indices of intersecting elements of two vectors as intersect() will give the elements and not its indices. Thanks in advance. Praveen Surendran School of Medicine and Medical Sciences University College Dublin Belfield, Dublin 4 Ireland. [[alternative HTML version deleted]]

This is not a bug, nor is the subject line true: both do accept factors but what they do with factors is undocumented. From the help (not 'man') page Performs *set* union, intersection, (asymmetric!) difference, equality and membership on two vectors. ^^^^^^^ so it is not said to work on factors. I disagree that what intersect() for