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It is possible to calculate the five-number summary in the R programming language using the fivenum function. The summary function, when applied to a vector, displays the five-number summary together with the mean (which is not itself a part of the five-number summary).
C, Fortran, R [7] R language, Python (by RPy), Perl (by Statistics::R module) R++: Zebrys 1.6.15 (8 December 2023 ()) [8] No Proprietary: CLI, GUI: C++, Qt R language: RKWard: RKWard community 0.7.3 (21 April 2022 ()) [9] Yes GNU GPL: CLI, GUI: C++, ECMAScript R language, Python (by RPy), Perl (by Statistics::R module) Revolution Analytics
Spatial descriptive statistics is the intersection of spatial statistics and descriptive statistics; these methods are used for a variety of purposes in geography, particularly in quantitative data analyses involving Geographic Information Systems (GIS).
fit() is a function used to check whether moving the points gets closer to the desired shape; temp is the temperature of the simulated annealing algorithm; similar_enough() is a function that checks whether the statistics for the two given data sets are similar enough; move_random_points() is a function that randomly moves data points
SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis; Systat – general statistics package; The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural ...
Boxplot (with an interquartile range) and a probability density function (pdf) of a Normal N(0,σ 2) Population. In descriptive statistics, the interquartile range (IQR) is a measure of statistical dispersion, which is the spread of the data. [1] The IQR may also be called the midspread, middle 50%, fourth spread, or H‑spread.
Figure 2. Box-plot with whiskers from minimum to maximum Figure 3. Same box-plot with whiskers drawn within the 1.5 IQR value. A boxplot is a standardized way of displaying the dataset based on the five-number summary: the minimum, the maximum, the sample median, and the first and third quartiles.
Descriptive statistics provide simple summaries about the sample and about the observations that have been made. Such summaries may be either quantitative, i.e. summary statistics, or visual, i.e. simple-to-understand graphs. These summaries may either form the basis of the initial description of the data as part of a more extensive statistical ...