Creation of Tests – Test checkpoints such as verifying for successful HTTP response status can be added to each Postman API calls which help ensure test coverage.This is where parameterization will take place which we will discuss in further lessons. Creating Environments – Having multiple environments aids in less repetition of tests as one can use the same collection but for a different environment.A direct link can also be used to share collections. Collaboration – Collections and environments can be imported or exported making it easy to share files.This helps in organizing your test suites. Each collection can create subfolders and multiple requests. Use of Collections – Postman lets users create collections for their Postman API calls.Accessibility – To use Postman tool, one would just need to log-in to their own accounts making it easy to access files anytime, anywhere as long as a Postman application is installed on the computer.
#Draw watson analyzer with google charts stack overflow software#
# There are no examples defined here.With over 4 million users nowadays, Postman Software has become a tool of choice for the following reasons: Generates all pairs out of one or two sets of elementsĬreate pairs of correlated random numbers Generates all possible subsets out of a list of elements Returns the number of subsets out of a list of elements Imputation of datapoints following the "last observation Replace NAs by the median or another value Return the first value in a vector not being NA Return the value in a vector being closest to a given one Implements a Vigenere cypher, both encryption and decryptionĬreate and plot a binary tree structure with a given length Inverse function to which, create a logical vector/matrix from indices Recreates original list based on a n-dimensional frequency tableįisher's z-transformation and its inverseĬalculate sequentially the midpoints of the elements of a vector Reverses the order of rows and/or columns of a matrix or a ame Sort extension for matrices and amesĬalculate ranks including dense type for ties Trim data by omitting outlying observationsĬut a numeric variable into quartiles or other quantiles Generalized logit and inverse logit function Return the optimal lambda for a BoxCox transformationĬalculate started logarithmic transformation and it's inverse Maximum used digits for a vector of numbersīox Cox transformation and its inverse transformation Return the fractional part of a numeric value
Generates single Fibonacci numbers or a Fibonacci sequence The number of days of the overlapping partĭetermine all possible permutations of a set
Simple operator to search for a specified pattern The 'CamelStyle' was consequently applied to functions borrowed from contributed R packages as well.įeedback, feature requests, bugreports and other suggestions are welcome! Please report problems to Stack Overflow using tag or directly to the maintainer.īetween operators determine if a value lies within a range Google style guides were used as naming rules (in absence of convincing alternatives). The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel.Ī considerable part of the included functions can be found scattered in other packages and other sources written partly by Titans of R. For most basic statistics functions, variants are included that allow the use of weights. Special attention was paid to the integration of various approaches to the calculation of confidence intervals. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. Tools for Descriptive Statistics and Exploratory Data AnalysisĭescTools is an extensive collection of miscellaneous basic statistics functions and comfort wrappers not available in the R basic system for efficient description of data.
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