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A practical book for systematically learning data science related to food and agriculture from the basics using the statistical analysis software R.
The R program corresponding to this article can be obtained from the NTS Digital Supplement site "DigiFuro." *Supplement: R program (code) and CSV file*
I have summarized methods such as principal component analysis and multivariate spectral decomposition in multivariate statistical analysis!
The "Multivariate Statistical Analysis" is a catalog from Quality Design Co., Ltd., which engages in the development and sale of analysis software related to the sales of scientific instruments and manufacturing processes. It provides an easy-to-understand summary of multivariate statistical analysis, including principal component analysis, multivariate spectral decomposition methods, and the concepts of various regression formulas. Additionally, we offer workshops for our multivariate statistical analysis training courses held 3 to 4 times a year in Tokyo and Osaka, so please feel free to contact us. [Contents] ■ Principal Component Analysis ■ Multivariate Spectral Decomposition Method ■ Concepts of Various Regression Formulas ■ Handling of 3D Data ■ Information on Training Seminars *For more details, please refer to the catalog or feel free to contact us.
![[Information] Guide to Statistical Analysis](https://image.mono.ipros.com/public/product/image/cc5/2000631308/IPROS02806702041172032131.png?w=280&h=280)
Appropriate research planning, actual surveys, aggregation, and analysis tailored to the theme! We will clearly resolve your research issues.
This document serves as a guide for statistical analysis. It includes Quantification Type I, II, III, cluster analysis, PSM analysis, correspondence analysis, and paired comparison evaluation methods. At Plus One Research, we provide suitable research planning, actual surveys, aggregation, and analysis to clearly resolve research issues according to the theme. [Contents] ■ Quantification Type I: Creating predictive model formulas from qualitative data ■ Quantification Type II: Analyzing factors that differentiate groups ■ Quantification Type III: Scoring the similarity of people and objects ■ Cluster Analysis: Grouping samples and variables ■ Correspondence Analysis: Creating positioning maps from cross-tabulation tables *For more details, please refer to the PDF document or feel free to contact us.
We support data management and statistical analysis services for post-marketing pharmaceuticals!
Our company conducts data processing and support services for clinical trials and various surveys. We have numerous achievements primarily in supporting "Medical Affairs," which creates evidence-based data to accurately assess the benefits and risks brought by pharmaceuticals. Additionally, we offer consulting services for various inquiries related to not only routine tasks like DM and statistical analysis but also other related matters. *For more details, please contact us.*
