Pinned

1. sear sear Public

   Simple (effin') Enrichment Analysis in R

   R 2

2. enumerateblood enumerateblood Public

   A multi-response Gaussian model capable of accurately estimating the composition of blood samples from their gene expression profiles. Fit on Affymetrix Gene ST gene expression profiles using the g…

   R 1 3

3. Beautiful tapered-intensity-curved e... Beautiful tapered-intensity-curved edge network graph with ggplot2

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   doInstall <- TRUE  # Change to FALSE if you don't want packages installed.

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   toInstall <- c("sna", "ggplot2", "Hmisc", "reshape2")

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   if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}

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   lapply(toInstall, library, character.only = TRUE)

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4. Retaining names of list when using t... Retaining names of list when using tidyr::unnest example

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   library(tidyr)

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   library(dplyr)

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   l <- lapply(1:5, function(x) runif(5))

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   names(l) <- LETTERS[1:5]

5. A function to un-scale a matrix usin... A function to un-scale a matrix using the attributes of a 'scale' object.

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   #' Reverse a scale

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   #'

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   #' Computes x = sz+c, which is the inverse of z = (x - c)/s

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   #' provided by the \code{scale} function.

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   #'

6. Simulate correlated variables Simulate correlated variables

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   library(MASS)

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   library(tidyverse)

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   # create the variance covariance matrix

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   sigma <- rbind(