define.limits
(Package: EMMAgeo) :
Define mode limits by mouse clicks.
This function allows to define limits for robust end-members by mouse clicks on a combined plot output, showing a histogram and all end-members together. Clicks must be placed in the order lower limit, upper limit - for each end-member successively.
● Data Source:
CranContrib
● Keywords: EMMA
● Alias: define.limits
●
0 images
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check.data
(Package: EMMAgeo) :
Function to check data consistency.
The input data matrix (X), number of end-members (q), weight transformation limits (l) and constant sum scaling parameter (c) are checked for consistency. This includes checking for absence of missing values, columns containing only zero-values and for numeric data type of variables. Furthermore, a check tests if l is below the maximum possible value, preventing numerical instability prior to factor rotation.
● Data Source:
CranContrib
● Keywords: EMMA
● Alias: check.data
●
0 images
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mix.EM
(Package: EMMAgeo) :
Function to mix sample spectres.
This functions allows to mix grain-size distributions with specified proportions and defined noise levels, for example to test the goodness of the EMMA algorithm.
● Data Source:
CranContrib
● Keywords: EMMA
● Alias: mix.EM
●
1 images
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EMMA
(Package: EMMAgeo) :
Function for end-member modelling analysis.
A multivariate data set (m samples composed of n variables) is decomposed by eigenspace analysis and modelled with a given number of end-members (q). Several steps of scaling, transformation, normalisation, eigen space decomposition, factor rotation, data modelling and evaluation are performed.
● Data Source:
CranContrib
● Keywords: EMMA
● Alias: EMMA
●
2 images
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This function interpolates grain-size classes, either to higher or to lower resolution.
● Data Source:
CranContrib
● Keywords: EMMA
● Alias: interpolate.classes
●
2 images
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model.em
(Package: EMMAgeo) :
Model all possible end-member scenarios.
This function takes a definition of weight transformation limits and corresponding minimum and maximum numbers of end-members to model all end-member scenarios in accordance with these parameters. Based on the output the user can decide on robust end-members.
● Data Source:
CranContrib
● Keywords: EMMA
● Alias: model.em
●
1 images
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GUI
(Package: EMMAgeo) :
Start GUI for EMMA
This function starts a browser-based graphic user interface for EMMA.
● Data Source:
CranContrib
● Keywords:
● Alias: GUI
●
0 images
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test.l.max
(Package: EMMAgeo) :
Function to find maximum possible l value.
This function approximates the highest possible value for l in a nested loop.
● Data Source:
CranContrib
● Keywords: EMMA
● Alias: test.l.max
●
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test.parameters
(Package: EMMAgeo) :
Function to evaluate influence of model parameters.
All possible combinations of number of end-members and weight transformation limits are used to perform EMMA. The function returns matrices of absolute and relative measures of individual model performance.
● Data Source:
CranContrib
● Keywords: EMMA
● Alias: test.parameters
●
1 images
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test.l
(Package: EMMAgeo) :
Function to test maximum valid l value.
This function performs the weight transformation of the data matrix after Klovan & Imbrie (1971) and performs EMMA() with different weight limits to check if valied results are yielded. It returns the maximum value for which the transformation remains stable.
● Data Source:
CranContrib
● Keywords: EMMA
● Alias: test.l
●
0 images
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