Software Downloads for "Data Point Blank"

POINT BLANK REVOLUTION - Guides

" THIS MEANS WAR ! "


In a time of rapid change and economic prosperity... When intelligence and awareness cannot follow the economic growth, problem will arise.

In a matter of years a State which was once even considered a weak nation among developing countries and has grown into a major world power. Sudden growth and affluence made the people abandon virtue and family values and this lead to the decrease in birthrate.

The government was late to react to the problem.

  • Platform: Android 2.x, Android 3.x, Android 4.4, Android 4.x
  • Publisher: Elite Guide
  • Date: 22-10-2014
  • Size: 11264 KB

GUI to move a selected data point upward or downward by a user-defined amount % Input: nfig -- the number of the figure % Use: 1. push the "Select" button % 2. move the mouse unto th figure to select a data point to be % moved % 3. push "Up" or "Down" button to move the data point % 4. push "Undo" button to cancel the previous move % 5. change the delty if needed % % Note: This function is not to be used against the rule "data is data"; rather, it is to help one % to plot data correctly, e.g. when plotting phase vs frequency in % spectrum analysis, one may need to move some phase data by 360, % 2*pi, or 1 depending on the unit of the phase is degree, radian or % period.

  • Platform: Matlab, Scripts
  • Publisher: Hongxue Cai
  • Date: 27-01-2013
  • Size: 10 KB

Plots each data point as a box, and puts each box on the graph in such a way that no boxes overlap. By default produces a standalone plot in a new figure window, but can plot into specified axes as well. See the comments in the function help for more detail..

  • Platform: Matlab, Scripts
  • Publisher: Mark Wolters
  • Date: 14-05-2013
  • Size: 10 KB
  • EnBiD
  • License: Freeware
  • Rating

A code for fast multi-dimensional density estimation . Instead of assuming an a-priori metric definition, it calculates a locally adaptive metric for each data point by using, a Shannon Entropy based, binary space partitioning scheme..

Like polyfit.m but includes weighting of each data point. Summary ---------------- Find a least-squares fit of 1D data y(x) with an nth order polynomial, weighted by w(x). Usage ----- P = polyfitweighted(X,Y,N,W) finds the coefficients of a polynomial P(X) of degree N that fits the data Y best in a least-squares sense. P is a row vector of length N+1 containing the polynomial coefficients in descending powers, P(1)*X^N + P(2)*X^(N-1) +...+ P(N)*X + P(N+1). W is a vector of weights. Vectors X,Y,W must be the same length.

  • Platform: Matlab, Scripts
  • Publisher: Salman Rogers
  • Date: 06-01-2013
  • Size: 10 KB

====================================== main executing reference usage: usage_proclivityStateTracking.m * Each trend data point are to be of large time interval ---------------------------------------------------------------------------- The objective is to illustrate identification of a local maxima, minima or plateau. usage_proclivityStateTracking.m demonstrates a situation where the output of each point may have an interval of hours. A braking condition may be posited to halt at certain conditions (braking or exit criteria), for example, after a number of maxima, minima or plateau.

  • Platform: Matlab, Scripts
  • Publisher: Michael Chan
  • Date: 06-06-2013
  • Size: 215 KB

A Gaussian mixture model means that each data point is drawn (randomly) from one of C classes of data, with probability p_i of being drawn from class i, and each class is distributed as a Gaussian with mean standard deviation mu_i and sigma_i. Given a set of data drawn from such a distribution, we seek to estimate these unknown parameters. The algorithm used here for estimation is EM (Expectation Maximization). Simply put, if we knew the class of each of the N input data points, we could separate them, and use Maximum Likelihood to estimate the parameters of each class.

  • Platform: Matlab, Scripts
  • Publisher: Matthew Roughan
  • Date: 06-06-2013
  • Size: 20 KB

Just pass the dissimilarity matrix, number of clusters in the partition to be evaluated and the indexes for each data point and you will get the Dunn's index. The Dunn's index measures compactness (Maximum distance in between data points of clusters) and clusters separation (minimum distance between clusters). This measurement serves as a measure to find the right number of clusters in a data set, where the maximum value of the index represents the right partitioning given the index (partition with the highest separation between clusters and less spread data in between clusters).

  • Platform: Matlab, Scripts
  • Publisher: Julian Ramos
  • Date: 19-01-2013
  • Size: 10 KB

Color Scatter Plot for random data point visualization. It mimics a continuous 2D probability distribution. coldotplot(x,y,s0,Ad) creates at scatterplot with dots of sizes that correspond to their density in the swarm of points. The larger dots will also have a more "hot" color in the dense particle region. The data x and y are vectors of the same size, s0 is a parameter of local radii around each datapoint (defalult = 0.5). Ad is a visualization parameter for the area of the weighted dots (default = 1).

  • Platform: Matlab, Scripts
  • Publisher: Per Sundqvist
  • Date: 24-06-2013
  • Size: 10 KB

Data Curve Fit Creator Add-in is an easy-to-use data analysis add-in for Microsoft Excel. It adds curve fitting, interpolation, and data smoothing functions to Excel. Curve fitting functions include polynomial fits and a versatile local regression (loess) function. Interpolations include linear, cubic spline, bessel and monotonic \'constrained\' splines, as well as a \'flexible spline\' that allows you to specify the slope at each data point. Data smoothing functions include moving average, median filter, and a Gaussian smoothing filter.

The fitting of smooth curve through a set of data points and extention to this is the fitting of 'best fit' spline to a large set of data points which show the cerrent trend but which do not all lie above the curve. The method involves cluster analysis, that is, grouping the crude data into clusters and seed points are the limites of each cluster. The central for each clustrer become nodes through which a natural spline is fitted. There are five stages nessesary in the cluster analysis and calculation of node positions, summerised as follow: 1.

  • Platform: Matlab, Scripts
  • Publisher: petar radkov
  • Date: 20-02-2013
  • Size: 10 KB

This script takes advantage of Matlabs links with Photoshop to create a 2d transparent scatter plot of your data, which, I believe is not possible at present in Matlab. Although rasterization is not ideal, you can specify any image size in pixels (and point size) with this function. You can also provide your own image to use as a data point..

  • Platform: Matlab, Scripts
  • Publisher: Robert Macrae
  • Date: 24-03-2013
  • Size: 10 KB

JProbeDataGraph was created as a small and open source component that can help you graphically represent data probes.

JProbeDataGraph can be used in projects in order to display various types of data. The tool is made out of a sliding graphic window that manages to update the graphic view each time a new data point is added to the data source.


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  • Platform: WinOther
  • Publisher: nihat
  • Date:

All in One Ballistics and Reloading Software. Understanding your ammunition's ballistics performance downrange is key to making successful shots on the range and in the field. Ballistic Basics 2012 allows you to both analyze and understand a wide range of ballistics information. Perfect for hunters and shooters who want to improve their accuracy and performance, Ballistic Basics 2012 helps you visualize how different ammunition component combinations can affect your ability to hit a target without having to rely on traditional ballistics tables.

  • Platform: Windows
  • Publisher: Bazoesoft
  • Date:
  • Size: 210094 KB
  • Dagra
  • License: Shareware
  • Rating

Dagra helps you digitize numerical data from printed graphs. Using Bezier curves, you can quickly and accurately retrieve data from scanned or graphical images. Add-ins for MathCad(R), Excel(R) and Matlab let you quickly load the digitized data into these analysis tools. Dagra lets you access a wealth of printed data for:
- Design calculations
- Numerical modelling
- Simulations
- Control system development
- Comparing new results with previous work.

Extract numerical data from a graph in 3 steps with Dagra:
1.

Programs include Covert text to Upper case, proper case & lower case, delete specified number of characters from text, Sort filter on font or background color, copy or move data based on color, data cleaning from ERP, delete or color duplicates. Convert India numbers to text string, put header or footer in multiple sheets create clickable index sheet of all sheets, put word like bullets, replace errors with anything, find all errors, auditing, find external links, apply formulas to multiple cells, rouding numbers in multiple cells,copy formula without change of cell address, delete all blank rows or columns, fill empty cells with user selection, copy data to blank cells below, serial numbers in non-consequitive rows, add text to stings or numbers, break large files with more than 65000 rows, rename active file, sum based on color,...

LightningChart Ultimate is the fastest 2D and 3D measurement, engineering and research data visualization SDK for .NET and Windows. LightningChart Ultimate is entirely GPU accelerated (Direct3D) and performance optimized data visualization control for presenting masses of data in 2D graph view, 3D view and polar views. LightningChart Ultimate's graph view is especially designed for professional high-speed data acquisition software, PC-based oscilloscopes and signal analyzers, scientific research, G.

  • Platform: Windows
  • Publisher: Arction Ltd
  • Date: 21-12-2011
  • Size: 19531 KB

ezCheckPrinting is a MICR check designing and printing software for any size business. It saves your money on checks. It prints business checks on blank computer check. It supports check layout editing and creates customized check. Free offer available. -Easy to use Print your first check in minutes. You can easily customized the check layout (not available for free version). -Efficient Help save money to print your checks on blank computer checks. -Affordable You can print company computer checks by using the free version ezCheckPrinting without time limit.

MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. It is fast, user-friendly and reliable. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. The MedCalc ROC module includes comparison of up to 6 ROC curves. The software also includes Bland & Altman plot, Passing and Bablok and Deming regression for method comparison studies. Data management Integrated spreadsheet with 16384 columns and up to 100000 rows.

  • Platform: WinOther
  • Publisher: MedCalc Software
  • Date: 08-09-2012
  • Size: 16712 KB

MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. It is fast, user-friendly and reliable. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. The MedCalc ROC module includes comparison of up to 6 ROC curves. The software also includes Bland & Altman plot, Passing and Bablok and Deming regression for method comparison studies. Data management Integrated spreadsheet with 16384 columns and up to 100000 rows.

  • Platform: WinOther
  • Publisher: MedCalc Software
  • Date: 23-07-2012
  • Size: 13261 KB
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