Biplots: It is the multivariate analogue of the scatter plots, which estimates the multivariate distribution of the sample in a few dimensions, typically two and superimpose on these display representations of the variables on which the samples are measured and observed. The relationships amongst the individual sample points can be simply seen and they can also be related to the values of the measurements, thus making such plots useful for giving the graphical explanation of the data, for detecting patterns, and for giving the results found by more formal methods or techniques of analysis. Figure 16 shows the two-dimensional biplot of a set of multivariate data with 34 observations and 10 variables. Also see principal components analysis and corre- spondence analysis.

Posted Date: 7/26/2012 5:50:34 AM | Location : United States

Ask an Expert

Related Discussions:- Biplots, Assignment Help, Ask Question on Biplots, Get Answer, Expert's Help, Biplots Discussions

Write discussion on Biplots
Your posts are moderated

Write your message here..

Related Questions

Daycare, facts and statistics about daycare facts and statistics about daycare

Omitted covariates, Omitted covariates is a term generally found in the co... Omitted covariates is a term generally found in the connection with regression modelling, where the model has been incompletely specified by not including significant covariates.

Chebyshevs lemma, properties of chebyshevs lemma properties of chebyshevs lemma

Dummy variable, Discuss the use of dummy variables in both multiple linear ... Discuss the use of dummy variables in both multiple linear regression and non-linear regression. Give examples if possible

Doob meyer decomposition, A theorem which shows that any counting process m... A theorem which shows that any counting process may be uniquely decomposed as the sum of a martingale and a predictable, right-continous process called the compensator, assuming ce

Free hand or graphical method, methods of measuring trend methods of measuring trend

Multi co linearity, Multi co linearity is the term used in the regression ... Multi co linearity is the term used in the regression analysis to indicate situations where the explanatory variables are related by a linear function, making the inference of the

Unequal probability sampling, Unequal probability sampling is the sampling... Unequal probability sampling is the sampling design in which the different sampling units in the population have different probabilities of being included in sample. The differing

Product-limit estimator, Product-limit estimator is a method for estimatin... Product-limit estimator is a method for estimating the survival functions for the set of survival times, some of which might be censored observations. The logic behind the procedu

Complier average causal effect (cace), Complier average causal effect (CACE... Complier average causal effect (CACE): The treatment effect amid true compliers in the clinical trial. For the suitable response variable, the CACE is given by the difference in o