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The 6.15 version of Analyse-it for Microsoft Excel is available as a free download on our software library. The size of the latest downloadable setup file is 24.8 MB. The program's installer is commonly called CVH.EXE or EXCEL.EXE etc.
Using analysis weights is important to get the point estimates right. Users must consider the weighting, clustering, and stratification of the survey design to produce correct standard errors (and degrees of freedom). The example code provided below shows how to specify these variables correctly, using an individual year of the NSDUH PUF, and also indicates how to calculate the proportions, standard errors (SE), and confidence intervals of the risk of smoking one or more packs of cigarettes per day by gender. This statistical analysis plan (SAP), in turn, results in two subpopulation analyses of proportions for each level of gender. The dependent or outcome variable is the risk of smoking one or more packs of cigarettes per day and is determined using the categorical variable, RSKPKCIG. Gender is determined using the categorical variable, IRSEX. Both of the variables in the NSDUH PUF file are numeric in downloadable SAS, Stata, SPSS, and R specific datasets. RSKPKCIG is coded numeric as 1 to 4 for no risk, slight risk, moderate risk, and great risk for valid values and as system missing for invalid values. IRSEX is imputation revised gender for missing values and is coded numeric as 1 for male and 2 for female.
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Hello William,I am doing well. I hope that you are doing well too.1. What sort of error are you getting The usual problem relates to trust. You can address this issue as described in the Troubleshooting section of -statistics.com/free-download/real-statistics-resource-pack/2.The key is that Solver needs to load before the Real Statistics add-in. Many months ago, I changed the name of the Real Statistics add-in to XRealstats.xlam to ensure that this would happen.Charles
Abstract:This is the second of a two-paper series describing a multi-scale modeling approach developed to simulate crack sensing in polymer fibrous composites by exploiting interruption of electrically conductive carbon nanotube (CNT) networks. The approach is based on the finite element (FE) method. Numerical models at three different scales, namely the micro-scale, the meso-scale and the macro-scale, have been developed using the ANSYS APDL environment. In the present paper, the meso- and macro-scale analyses are described. In the meso-scale, a two-dimensional model of the CNT/polymer matrix reinforced by carbon fibers is used to develop a crack sensing methodology from a parametric study which relates the crack position and length with the reduction of current flow. In the meso-model, the effective electrical conductivity of the CNT/polymer computed from the micro-scale is used as input. In the macro-scale, the final implementation of the crack sensing methodology is performed on a CNT/polymer/carbon fiber composite volume using as input the electrical response of the cracked CNT/polymer derived at the micro-scale and the crack sensing methodology. Analyses have been performed for cracks of two different lengths. In both cases, the numerical model predicts with good accuracy both the length and position of the crack. These results highlight the prospect of conductive CNT networks to be used as a localized structural health monitoring technique.Keywords: carbon nanotubes; polymer nanocomposites; electrical conductivity; crack sensing; multi-scale modeling
Subject to the terms and conditions of this Agreement, Subio hereby grants You a limited, personal, non-commercial, non-exclusive, non-sublicensable, free of charge license to download, install and use Subio Platform on Your computer. You may use Subio Platform and Plug-ins anywhere like universities, research institutions, home or at work.
* Completely free * Runs on Windows and Mac OS X * Source code download available (compile for Linux etc) * Sample map data (usually download from Census bureaux and map agencies) * Manuals, YouTube demonstration videos, Pinterest board
A great introductory resource on R for spatial data is provided by James Cheshire and myself and is free to download here: _Lovelace/publication/274697165_Spatial_data_visualisation_with_R/links/55254f220cf24fc7fdeecf7c.pdf
Please note: ZEN lite is the free, unlicensed edition of ZEN. Once ZEN has been downloaded and installed, ZEISS Microscopy Installer will check your ZEN license and, if you don't have one, will default you to ZEN lite.
Perform your analyses in the Mercury interface, with a host of analytical tools from CSD-Discovery and CSD-Materials built in.(See the full range of tools available for academics in our free or paid versions, and for commercial users in different packages)
Yes, it is free. You can upload, download and analyze pcap files (and pcapng) for free. It does not need any personalization or any charge. Please note that free usage is limited by 25Mb for .pcap files.
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