Data analysis program

There are two ways in which data can be analyzed using the MARS system. The first is through use of the general data analysis tools which are part of the standard MARS shell. The second is by means of specialized data analysis programming which can be invoked by the MARS shell. 

Once a test 1s complete, another menu option provides the data analysis results 1n the form of a hard-copy report printed on the local line printer. The report Includes experiment identification Information and the apparent viscosities calculated for each data set. A subset of the data analysis program 1s scheduled automatically by the control programs while the experiment is 1n progress and provides immediate on-line analysis of apparent viscosities for each data set as It 1s collected. The results are viewed using the real-time data display program (Figure 5). 

Chambers, J. M. Software for Data Analysis Programming with R. Springer, New York, 2007. 

ISIDA (In Silico Design and Data Analysis) Program, http //infochim.u-strasbg.fr/ recherche/isida/index.php, 2008. 

We wish to express our gratitude to Dr. J. Shih for his assistance in the economic analyses and to Mr. L.A. Young for his process control and data analysis programming for these experiments. We also thank Occidental Minerals, Inc. for partial funding of this research. 

Fig. 1.12 presents an overview of the role that a truly integrated document processor can play in interfacing the chemist with chemical information from a variety of sources including data bases, chemical instruments, the literature, other scientists, electronic journals, data analysis programs,... 

The rapid development of computer technology has yielded powerful tools that make it possible for modem EIS analysis software not only to optimize an equivalent circuit, but also to produce much more reliable system parameters. For most EIS data analysis software, a non-linear least squares fitting method, developed by Marquardt and Levenberg, is commonly used. The NLLS Levenberg-Marquardt algorithm has become the basic engine of several data analysis programs. 

Powerful data analysis programs are available (e.g., complex non-hnear least square fit or CNLS-fit). Error estimations for model parameters can be obtained. 

Despite the convenience, speed, and general precision offered by data analysis programs, it is important for the crystallographer to know what is being sought, and what consider-... 

Oxygen uptake (mg 02/flask) and respiration rate (mg 02/flask/h) were calculated using the CESAN data analysis program (version 1.1, Coordinated Environmental Services, UK) and plotted using Excel 7.0 for Windows 95. 

The XAS data analysis program WinXAS v. 3.1 [19] was used for examining the time-resolved Co K absorption edge XANES data. The identification of the number of phases present during in situ reduction was done by a principal component analysis (PCA) of the experimental spectra [20]. Reference spectra were then used in a linear combination fitting procedure to determine the quantity of each phase present. The algorithm uses a least squares procedure to refine the sum of a given number of reference spectra to an experimental spectrum. 

Figure 12 (A) By means of the UMS, the user defines all the parameters needed for peak detection arui identification (Smartident) and launches the data analysis program. For each scan point peptidic peaks are detected and the peak list is submitted to Smartident. (B) The results are written into TIF-and XML-files. (C) Melanie is used to visualise them. The user can examine identifications and (D) set thresholds for the spot detection. (E) All the proteins that pass these thresholds are selected and the contours of the regions where they were detected are drawn. (F) The intensity of peaks within 2025 0.7Da is shown. The region where these masses are detected corresponds well to the PGK ECOU spot on the right side. Since these masses do not appear in the list of standard peptide masses cfPGK ECOU, they might correspond to a modified peptide.

Determining the Dissolved CO Concentration. Dissolved CO concentration in the liquid sample is determined by loading the spectra data files into a data analysis program (i.e., IMP 6.0) to fit the liquid sample spectra between the deoxy and saturated spectra effectively interpolating between CO-free and CO-saturated samples. The software package uses a least squares fitting routine that outputs a percent similarity to each of the reference specfia. These output data... 

Several new data analysis programs have been developed in recent years making the interpretation and analysis of data simpler and quicker. With modern computers it is also possible to analyze the data on-line, i.e., almost as soon as it has been acquired. 

Chambers J. Softwarefor Data Analysis Programming withR (Statistics and Computing). New York Springer 2010. p 514. 

A well-defined relationship between detector response and analyte concentration is crucial for quantitative analyses. In the past, the working range of an analysis was often defined by the linear portion of the response vs. concentration curve. Although a linear relationship is desirable, it is no longer a requirement since powerful curvefitting data analysis programs are readily available. The important criterion is that the response-concentration relationship is constant and reproducible. 

---