Examples of 'correspondence analysis' in a sentence
Meaning of "correspondence analysis"
Correspondence analysis: A statistical technique used to analyze and visualize relationships in data tables, particularly in categorical data
How to use "correspondence analysis" in a sentence
Basic
Advanced
correspondence analysis
Correspondence analysis is made solely with computers.
Multiple and joint correspondence analysis.
Detrended correspondence analysis confirms these stand relationships.
He made a large contribution to the development of correspondence analysis.
Correspondence analysis of use of information sources by national culture.
We performed multivariate analysis with logistic regression and correspondence analysis.
Detrended correspondence analysis showed two main axes of variation.
Data exploratory bivariate statistics and multiple correspondence analysis were employed.
The multiple correspondence analysis allowed us to characterize four groups of patients.
The data were tabulated and analyzed using frequency analysis and correspondence analysis.
Multiple correspondence analysis.
The data were analyzed with hierarchical regression analyses and correspondence analysis.
Comparison of correspondence analysis methods for synonymous codon usage in bacteria.
This technique was used with the purpose of confirming clusters found by the correspondence analysis.
Detrended correspondence analysis was used to ordinate stands along a floristic gradient.
See also
The data were analyzed using descriptive statistics and factorial multiple correspondence analysis was also performed.
The extension of correspondence analysis to many categorical variables is called multiple correspondence analysis.
Several variants of CA are available including detrended correspondence analysis and canonical correspondence analysis.
Detrended correspondence analysis was used to ordinate the vegetational cover of the fen sites.
Lake scores are shown relative to the first two Correspondence Analysis axes.
The correspondence analysis allowed us to simultaneously relate all the dimensions studied in the survey.
It was made a simple frequency analysis and correspondence analysis with qualitative and quantitative variables.
Canonical correspondence analysis was used to examine the relationship between chemical variables and community structure.
Figure 1 shows the multiple correspondence analysis results.
Multiple Correspondence Analysis is a method frequently used in studies assessing associations among categorical variables.
The cluster analysis complemented the correspondence analysis in identifying and dividing the groups.
Correspondence analysis did not identify changes in collembolan communities following the aerial application of Btk.
The scatterplot of the first two correspondence analysis axes shows the typical parabola shape.
For multivariate analysis, it was used a multiple correspondence analysis.
Thematic maps and correspondence analysis for exploratory data analysis performed the spatial analysis.
It was performed by chi-square and also through correspondence analysis.
Factorial Correspondence Analysis and thematic analysis was used.
In this context, few studies used the correspondence analysis.
Subsequently, correspondence analysis was conducted.
Figure 1 represents the results of the multiple correspondence analysis.
Correspondence analysis is symmetrical, survey questions and respondents are aggregated simultaneously.
Data visualization: correspondence analysis.
A multiple correspondence analysis technique was used, followed by a cluster analysis to create a dendrogram.
The analysis of vegetation-environment relationships by canonical correspondence analysis.
This is illustrated by a detrended correspondence analysis of the permanent-plot data.
Canonical correspondence analysis ( cca ) was used to identify associations between habitat and bird species.
To achieve the objectives we used descriptive statistics, correspondence analysis - ca and multivariate analysis.
Correspondence analysis revealed and summarized the hierarchy of the spatio-temporal variations in fauna.
For the analyzes were used chi square test, correspondence analysis and odds ratio.
Multivariate canonical correspondence analysis ( cca ) found that only biome and hydroperiod influenced the fauna.
When dealing with categorical independent variables, the equivalent technique is discriminant correspondence analysis.
We used two multivariate analysis techniques, distended correspondence analysis ( dca ) and grouping analysis dendrogram.
The canonical correspondence analysis showed that the weak winds, wave height and salinity variables influenced t.
A vegetational gradient was evaluated using detrended correspondence analysis ( DCA ).
The results of the principal correspondence analysis ( PCA ) confirm or invalidate this assumption.
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The confidentiality of their correspondence must be respected
