Sentence examples for packages functions and from inspiring English sources

The packages, functions and references used for each process are indicated below.

For those experienced with the R language, writing server.R consists of using the same packages, functions, and arguments to process information as previously in R with the only difference being considering whether specific tasks need to be placed in the reactive part of the script.

This chapter reviews the history behind the use of thick metal films, describes the package functions and designs possible from the use of thick metal elements and provides examples of the benefits resulting from their use.

Table 1 cffdrs package functions and their descriptions Function Description fbp Fire behavior prediction function fbpRaster Rater-based fire behavior prediction function.

To produce lentiviral particles used to stably reprogram fibroblasts into iPSCs, 293T cells were transfected with a mixture of viral plasmid and packaging constructs expressing the viral packaging functions and the VSV-G protein with Lipofectamine 2000 (Invitrogen).

Also, we created a very extensive manual of the package (vignette) with several examples of real and simulated data explaining how to use the package functions and their capabilities.

A skeleton of the reactive expression of the server.R script for this application is provided below: shinyServer (function input, output) { sim.data <- reactive ({ #Series of expression and functions (R package functions and user-defined) that collect widget values called by input$X to create a data frame called sim.data.df, comprised of time and the drug concentration.

In addition to widget values such as input$X, all expressions dependent on reactive input for defining sim.data are required to be within the reactive braces this includes "if" statements, differential equations (as seen in Example 3), installed package functions, and standard R functions.

We report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories.

The CGDSR R package functions getMutationData and getProfileData were recursively applied for all RefSeq genes.

Users can apply various microarray normalization methods to the imported datasets through the limma package functions 'normalizeBetweenArrays' and 'normalizeWithinArrays'normalizeWithinArrays