R: Nearest Positive Definite Matrix
Description Compute the nearest positive definite matrix to an approximate one, typically a correlation or variance-covariance matrix. Usage nearPD(x, corr = FALSE, keepDiag = FALSE, base.matrix = FALSE, do2eigen = TRUE, doSym = FALSE, doDykstra = TRUE, only.values = FALSE, ensureSymmetry = !isSymmetric(x), eig.tol = 1e-06, conv.tol = 1e-07, posd.tol = 1e-08, maxit = 100, conv.norm.type = "I", tra
[R] pnorm how to decide lower-tail true or false
Robert A LaBudde ral at lcfltd.com Fri Jun 8 19:54:56 CEST 2007 Previous message: [R] pnorm how to decide lower-tail true or false Next message: [R] pnorm how to decide lower-tail true or false Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] At 01:31 PM 6/8/2007, Carmen wrote: >Hi to all, >maybe the last question was not clear enough. >I did not found any hints how to decide whether
[Rd] Milestone: 8000 packages on CRAN
Henrik Bengtsson henrik.bengtsson at gmail.com Mon Feb 29 21:54:18 CET 2016 Previous message: [Rd] Function name exported incorrectly in DLL, strange entries in tmp.def Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] Another 1000 packages were added to CRAN, which took less than 7 months. Today (February 29, 2017), the Comprehensive R Archive Network (CRAN) [1] reports: “Currently,
ETH :: D-MATH :: Regression
First Lecture: 22. Februar 2012. Exercises: Have a look here. Exam: Have a look here. (This is not a complete list of questions, but should give you a better idea of what type of questions you can expect). Outline: In regression analysis, we examine the relationship between a random response variable and several other explanatory variables. In this class, we consider the theory of linear regressio
R: Names and Symbols
Description A ‘name’ (also known as a ‘symbol’) is a way to refer to R objects by name (rather than the value of the object, if any, bound to that name). as.name and as.symbol are identical: they attempt to coerce the argument to a name. is.symbol and the identical is.name return TRUE or FALSE depending on whether the argument is a name or not. Usage as.symbol(x) is.symbol(x) as.name(x) is.name(x)
R: Bartlett Test of Homogeneity of Variances
Description Performs Bartlett's test of the null that the variances in each of the groups (samples) are the same. Usage bartlett.test(x, ...) ## Default S3 method: bartlett.test(x, g, ...) ## S3 method for class 'formula' bartlett.test(formula, data, subset, na.action, ...) Arguments a numeric vector of data values, or a list of numeric data vectors representing the respective samples, or fitted l
R: Install Add-on Packages
a space-separated list of options through which in particular the process for building the help files can be controlled. Use R CMD INSTALL --help for the full current list of options. Details This will stop at the first error, so if you want all the pkgs to be tried, call this via a shell loop. If used as R CMD INSTALL pkgs without explicitly specifying lib, packages are installed into the library
R: Two-way Interaction Plot
Description Plots the mean (or other summary) of the response for two-way combinations of factors, thereby illustrating possible interactions. Usage interaction.plot(x.factor, trace.factor, response, fun = mean, type = c("l", "p", "b", "o", "c"), legend = TRUE, trace.label = deparse1(substitute(trace.factor)), fixed = FALSE, xlab = deparse1(substitute(x.factor)), ylab = ylabel, ylim = range(cells,
R: Dates of Coal Mining Disasters
Description The coal data frame has 191 rows and 1 columns. This data frame gives the dates of 191 explosions in coal mines which resulted in 10 or more fatalities. The time span of the data is from March 15, 1851 until March 22 1962. Usage coal Format This data frame contains the following column: date The date of the disaster. The integer part of date gives the year. The day is represented as th
[BioC] Simple pathway enrichment analysis for gene lists
Paul Shannon paul.thurmond.shannon at gmail.com Wed Sep 11 18:05:16 CEST 2013 Previous message: [BioC] Simple pathway enrichment analysis for gene lists Next message: [BioC] Simple pathway enrichment analysis for gene lists Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] Hi Enrico, You ask good questions. In answer to your immediate need, pasted in below are two versions of a short
R: Binding and Environment Locking, Active Bindings
Details The function lockEnvironment locks its environment argument. Locking the environment prevents adding or removing variable bindings from the environment. Changing the value of a variable is still possible unless the binding has been locked. The namespace environments of packages with namespaces are locked when loaded. lockBinding locks individual bindings in the specified environment. The v
R: Environment Access
Details Environments consist of a frame, or collection of named objects, and a pointer to an enclosing environment. The most common example is the frame of variables local to a function call; its enclosure is the environment where the function was defined (unless changed subsequently). The enclosing environment is distinguished from the parent frame: the latter (returned by parent.frame) refers to
R: Predict method for Linear Model Fits
Description Predicted values based on linear model object. Usage ## S3 method for class 'lm' predict(object, newdata, se.fit = FALSE, scale = NULL, df = Inf, interval = c("none", "confidence", "prediction"), level = 0.95, type = c("response", "terms"), terms = NULL, na.action = na.pass, pred.var = res.var/weights, weights = 1, rankdeficient = c("warnif", "simple", "non-estim", "NA", "NAwarn"), non
R: Return the R Home Directory
Return the R Home Directory Description Return the R home directory, or the full path to a component of the R installation. Usage R.home(component = "home") Arguments As well as "home" which gives the R home directory, other known values are "bin", "doc", "etc", "include", "modules" and "share" giving the paths to the corresponding parts of an R installation. Details The R home directory is the to
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R: Box Plots
R: Rotation Methods for Factor Analysis
https://stat.ethz.ch/~maathuis/papers/finalversion.pdf
R 3.2.2 is released
R: Utilities for Processing Rd Files