r apply sd
Here is an option using apply(MARGIN=1, ...) func <- function(x, threshold) if (any(x <= threshold)) return(max(x[x <= threshold])) NA } test_dt_v1[, ... ,SDcols = sd.cols] # grp v1 v2 v3 # 1: a -6.440273 0.16993940 0.2173324 # 2: b ... SD can be quite slow [^1] so you may want to avoid it unless you truly need all ... ,The general idea is to sweep the function across. You have many options, one is apply() : R> set.seed(42) R> M <- matrix(rnorm(40),ncol=4) R> apply(M, 2, sd) ... ,R file of that package, they have this code: mean.xts <- function(x,...) if(is.vector(x) ||is.null(ncol(x)) || ncol(x)==1) x<-as.numeric(x) mean(x,...) } else apply(x,2 ... ,row and column functions: rowSums, colSums, rowMeans, colMeans; apply family: ... dat <- matrix(rnorm(n = 15, mean = 1000, sd = 300), nrow = 3, ncol = 5) ... , In this tutorial we show the use of apply in R, its variants, and a few of its relatives, applied to different data structures.,X. an array, including a matrix. MARGIN. a vector giving the subscripts which the function will be applied over. E.g., for a matrix 1 indicates rows, 2 indicates ... , R中apply相关函数有不少，有的不常见，比如eapply，就不展开说了。 常见的 ... Mean=apply(x,2,mean) + x.sd=apply(x,2,sd) + #注意下面一行代码+ ...,Just to illustrate the comments above with an example, let's take set.seed(10238) # A and B are the "id" variables within which the # "data" variables C and D ... , This is an introductory post about using apply, sapply and lapply, best ... expect for three normal distributions with the given means and sd of 1.
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 r apply sd 相關參考資料
Apply Function Across Columns in data.table with do.call and .SD ...
Here is an option using apply(MARGIN=1, ...) func <- function(x, threshold) if (any(x <= threshold)) return(max(x[x <= threshold])) NA } test_dt_v1[, ... https://stackoverflow.com Apply function on a subset of columns (.SDcols) whilst applying a ...
SDcols = sd.cols] # grp v1 v2 v3 # 1: a -6.440273 0.16993940 0.2173324 # 2: b ... SD can be quite slow [^1] so you may want to avoid it unless you truly need all ... https://stackoverflow.com Column standard deviation R - Stack Overflow
The general idea is to sweep the function across. You have many options, one is apply() : R> set.seed(42) R> M <- matrix(rnorm(40),ncol=4) R> apply(M, 2, sd) ... https://stackoverflow.com How to apply mean, sd etc. function to a whole matrix - Stack Overflow
R file of that package, they have this code: mean.xts <- function(x,...) if(is.vector(x) ||is.null(ncol(x)) || ncol(x)==1) x<-as.numeric(x) mean(x,...) } else apply(x,2 ... https://stackoverflow.com R apply functions - Amazon AWS
row and column functions: rowSums, colSums, rowMeans, colMeans; apply family: ... dat <- matrix(rnorm(n = 15, mean = 1000, sd = 300), nrow = 3, ncol = 5) ... https://rstudio-pubs-static.s3 R tutorial on the Apply family of functions (article) - DataCamp
In this tutorial we show the use of apply in R, its variants, and a few of its relatives, applied to different data structures. https://www.datacamp.com R: Apply Functions Over Array Margins
X. an array, including a matrix. MARGIN. a vector giving the subscripts which the function will be applied over. E.g., for a matrix 1 indicates rows, 2 indicates ... https://stat.ethz.ch R的apply函数怎么用？ - 知乎
R中apply相关函数有不少，有的不常见，比如eapply，就不展开说了。 常见的 ... Mean=apply(x,2,mean) + x.sd=apply(x,2,sd) + #注意下面一行代码+ ... https://www.zhihu.com Use of lapply .SD in data.table R - Stack Overflow
Just to illustrate the comments above with an example, let's take set.seed(10238) # A and B are the "id" variables within which the # "data" variables C and D ... https://stackoverflow.com Using apply, sapply, lapply in R | R-bloggers
This is an introductory post about using apply, sapply and lapply, best ... expect for three normal distributions with the given means and sd of 1. https://www.r-bloggers.com |