similar to: Simple - Finding vector in a vector

hello, I want to know ..how we can separate the sentence after finding a particular word... for example I love to watch movies of Hollywood but should not be romantic...I want to join you school but due to bad financial condition I cant.. I want output in following format I love to watch movies of Hollywood should not be romantic I want to join you school due to bad financial condition I cant

Dear Group, I want to do a t-test calculation on a large data set. I am pasting some part of it structure(list(Name = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("CTK100", "CTK103", "CTK121"), class = "factor"), Score = c(236.9726, 207.0055, 237.3464, 224.4774, 236.5034,

Short question: Is it possible to use statistical tests, like the Augmented Dickey-Fuller test, in functions with for-loops? If not, are there any alternative ways to scale measures? Detailed explanation: I am working with time-series, and I want to flag curves that are not stationary and which display pulses, trends, or level shifts. >df DATE ID VALUE2012-03-06 1

I'm trying to duplicate something in Excel, where it is easy to reference the previous row in formula. Have been stuck on this for ages trying to achieve the same result in R. I've managed to do it with a loop but it takes ages on a large data set. What I want to do is create a new variable in a matrix that will refer to it's previous value if the ifelse statements aren't met.

Hi, I have a small problem with the function split() and would appreciate your help. I have a table called ?XXX? with 2 columns and 49 rows. The 49 rows belong to 8 different levels (electrode1, ...,electrode8). I want to split the table always at the row where ?electrode1? starts again so that I can export 7 individual dataframes (numbered ?dataframe1? to ?dataframe7?) which contain always

I fit a simple linear model y = bX to a data set today, and that produced 24 residuals (I have 24 data points, one for each year from 1984-2007). I would like to test the time-independence of the residuals of my model, and I was recommended by my supervisor to use the Ljung-Box test. The Box.test function in R takes 4 arguments:  x a numeric vector or univariate time series. lag the statistic

Hi, I was looking for a function like "which()" but only returns the first argument. Compare: x <- c(1,2,3,4,5,6) y <- 4 which(x>y) returns: 5,6 which(x>y)[1] returns: 5 which(x>y)[1] is exactly what i need. I did use this but the dataset is too big (~18 mio. Points). That's why i need a more effective way to get the first element of a vector which is

I have a binary vector and I want to find all "regions" of that vector that are runs of TRUE (or FALSE). > a <- rnorm(10) > b <- a<0.5 > b [1] TRUE TRUE TRUE FALSE TRUE FALSE TRUE TRUE TRUE TRUE My function would return something like a list: region[[1]] 1,3 region[[2]] 5,5 region[[3]] 7,10 Any ideas besides looping and setting start and ends directly?

G'day R (power) users, I have a many vectors, called: ib1 ib2 ib3 ... ib100 and I would like them in one data frame (df) such that: > df ib1 ib2 ib3 ib4 ..... ib100 x x x x x x x x x x x x x x x I have attempted: hold.list <- list(objects(pattern="ib")) df <- data.frame(hold.list) but that

Interrogating some (of my own) code in another package. >norm.meth <- getMethod("normalize", "MatrixLike") >message("str(norm.meth)") >str(norm.meth) >message("show(norm.meth at .Data)") >show(norm.meth at .Data) Last show() displays this: function (object, ...) { .local <- function (object, method = c("median",

I have some calculations that require persistent state. For example, they retain most of the data across calls with different parameters. They retain parameters across calls with different subsets of the cases (this is for distributed computation). They retain early analysis of the problem to speed later computations. I've created an S4 object, and the stylized code looks like this calc

I'm attempting to reflect the information for use with corresponding fields in GUI (in a different package), to provide default values, argname as key for UI label lookups, etc. So I want something much more like the formals of the implementation: { "object", "method": c("median", "vs", "tukey"),

I need to split a data frame into 3 columns. The column I want to split contains indices of lag (prefix L1 or L2 and suffix 01, 03, 04), station name (shown in the sample data as capitalized G, P and S) and pollutant name. Names with no ?L? prefix or 01/04 suffix are lag 0. Lag 01 is average of lag 0 and 1, and 04 is average of 0 to 4 days. How can one do that in R? I will ignore the other

Dear all, Need a help. I would like to count combination of two columns: structure(list(V1 = structure(c(4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("23", "55", "67", "Env"), class = "factor"), V2 = structure(c(9L, 7L, 7L, 7L, 2L, 1L, 11L, 11L, 11L, 11L, 5L, 6L, 6L, 3L, 8L, 2L, 1L, 4L, 4L,

Hi,everyone. I use the following program calculates Fisher's alpha from counts of individuals and species. The program is wrote by Prof. Kyle Harm. However, when I run the program, it can work very quickly sometimes, but it can not work very well sometimes. It depends on the counts of individuals and species. For example, > calc.alpha(1000,70) [1] 17.14375 > calc.alpha(10000,70) [1]

Hi all I installed *wine 9.6 on fedora4, IE6* , and *APPs* for *CALC TI83 plus * i tried to use the *USB *cable to connect to the *CALC* but did`t work then i used *serial cable* after i make *? ln -s /dev/ttyS0 ~/dosdevices/com1? *then i run the "TI Connect APPs" to coonect to the *CALC *it finds the *COM1* when it tried connect to the* CALC* but connection filed. any one

Hello I have a data frame like this: dput(states) structure(list(Date = c("24/07/2012", "25/07/2012", "26/07/2012", "27/07/2012", "28/07/2012", "24/07/2012", "25/07/2012", "26/07/2012", "27/07/2012", "28/07/2012"), State = c(1L, 1L, 1L, 1L, 1L, -1L, -1L, -1L, 1L, -1L)), .Names = c("Date",

Hello, I am new to R and I am attempting to use the ProbForecastGOP package for some research I am conducting. The package works fine when I call the functions from the command line as the examples instruct. However, I am attempting to step through some of the functions so that I can obtain a better idea of what is going on. I have come to the following command:

On Wed, Jun 5, 2019 at 1:33 PM <vsk at apple.com> wrote: > > > On Jun 4, 2019, at 4:41 PM, Nico Weber <thakis at chromium.org> wrote: > > On Mon, Jun 3, 2019 at 2:06 PM <vsk at apple.com> wrote: > >> Hi Nico, >> >> Sorry for the delay, I've been OOO. The llvm-cov bot should produce >> reports for llvm-undname starting today. >>

hi guys, i have some trouble in creating lagged variables to use as external regressors. i'm trying to use lag(x) but it gives me as result the same time series (x), adding this part at the end: attr(,"tsp") [1] 0 2323 1 where do i wrong?are there other functions to be used? thanks sara -- View this message in context: