| Type: | Package |
| Title: | Analyzing Data Through of Percentage of Importance Indice and Its Derivations |
| Version: | 0.0.2 |
| Description: | The Percentage of Importance Indice (Percentage_I.I.) bases in magnitudes, frequencies, and distributions of occurrence of an event (DEMOLIN-LEITE, 2021) http://cjascience.com/index.php/CJAS/article/view/1009/1350. This index can detect the key loss sources (L.S) and solution sources (S.S.), classifying them according to their importance in terms of loss or income gain, on the productive system. The Percentage_I.I. = [(ks1 x c1 x ds1)/SUM (ks1 x c1 x ds1) + (ks2 x c2 x ds2) + (ksn x cn x dsn)] x 100. key source (ks) is obtained using simple regression analysis and magnitude (abundance). Constancy (c) is SUM of occurrence of L.S. or S.S. on the samples (absence = 0 or presence = 1), and distribution source (ds) is obtained using chi-square test. This index has derivations: i.e., i) Loss estimates and solutions effectiveness and ii) Attention and non-attention levels (DEMOLIN-LEITE,2024) <doi:10.1590/1519-6984.253215>. |
| License: | GPL-3 |
| Depends: | crayon |
| Encoding: | UTF-8 |
| Language: | en-US |
| LazyData: | false |
| RoxygenNote: | 7.2.0 |
| NeedsCompilation: | no |
| Packaged: | 2022-09-13 18:18:49 UTC; Alcinei |
| Author: | Germano Leao Demolin Leite
 [aut],
Alcinei Mistico Azevedo
[aut, cre] |
| Maintainer: | Alcinei Mistico Azevedo <alcineimistico@hotmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2022-09-13 18:40:05 UTC |
Loss sources data
Description
Example with data from loss sources .
Usage
data(DataLossSource)
Format
A data frame with four sources of loss, one in each column.
Author(s)
Germano Leao Demolin Leite : germano.demolin@gmail.com
Alcinei Mistico Azevedo : alcineimistico@hotmail.com
References
DEMOLIN-LEITE, G.L., 2021. Importance indice: loss estimates and solution effectiveness on production. Cuban Journal of Agricultural Science, vol. 55, no. 2, pp. 1-7. <http://scielo.sld.cu/pdf/cjas/v55n2/2079-3480-cjas-55-02-e10.pdf>
DEMOLIN-LEITE, G.L., 2024. Do arthropods and diseases affect the production of fruits on Caryocar brasiliense Camb. (Malpighiales: Caryocaraceae)? Brazilian Journal of Biology, vol. 84, pp. e253215. <https://doi.org/10.1590/1519-6984.253215>
Number samples data
Description
Example with data of number samples.
Usage
data(DataNumberSamples)
Format
A data frame with the number of evaluations performed on each individual, the number of months evaluated and the number of evaluations performed per month.
Author(s)
Germano Leao Demolin Leite : germano.demolin@gmail.com
Alcinei Mistico Azevedo : alcineimistico@hotmail.com
References
DEMOLIN-LEITE, G.L., 2021. Importance indice: loss estimates and solution effectiveness on production. Cuban Journal of Agricultural Science, vol. 55, no. 2, pp. 1-7. <http://scielo.sld.cu/pdf/cjas/v55n2/2079-3480-cjas-55-02-e10.pdf>
DEMOLIN-LEITE, G.L., 2024. Do arthropods and diseases affect the production of fruits on Caryocar brasiliense Camb. (Malpighiales: Caryocaraceae)? Brazilian Journal of Biology, vol. 84, pp. e253215. <https://doi.org/10.1590/1519-6984.253215>
Production data
Description
Example with production data.
Usage
data(DataProduction)
Format
A data frame with production data.
Author(s)
Germano Leao Demolin Leite : germano.demolin@gmail.com
Alcinei Mistico Azevedo : alcineimistico@hotmail.com
References
DEMOLIN-LEITE, G.L., 2021. Importance indice: loss estimates and solution effectiveness on production. Cuban Journal of Agricultural Science, vol. 55, no. 2, pp. 1-7. <http://scielo.sld.cu/pdf/cjas/v55n2/2079-3480-cjas-55-02-e10.pdf>
DEMOLIN-LEITE, G.L., 2024. Do arthropods and diseases affect the production of fruits on Caryocar brasiliense Camb. (Malpighiales: Caryocaraceae)? Brazilian Journal of Biology, vol. 84, pp. e253215. <https://doi.org/10.1590/1519-6984.253215>
Solution sources data
Description
Example with data from solution sources .
Usage
data(DataSolutionSource)
Format
A data frame with three sources of solution, one in each column.
Author(s)
Germano Leao Demolin Leite : germano.demolin@gmail.com
Alcinei Mistico Azevedo : alcineimistico@hotmail.com
References
DEMOLIN-LEITE, G.L., 2021. Importance indice: loss estimates and solution effectiveness on production. Cuban Journal of Agricultural Science, vol. 55, no. 2, pp. 1-7. <http://scielo.sld.cu/pdf/cjas/v55n2/2079-3480-cjas-55-02-e10.pdf>
DEMOLIN-LEITE, G.L., 2024. Do arthropods and diseases affect the production of fruits on Caryocar brasiliense Camb. (Malpighiales: Caryocaraceae)? Brazilian Journal of Biology, vol. 84, pp. e253215. <https://doi.org/10.1590/1519-6984.253215>
Loss source distribution information
Description
Indicates the distribution of sources of loss: aggregate, random or regular.
Usage
Distribution_LossSource(DataLoss)
Arguments
DataLoss |
It is an matrix object containing data from loss sources. |
Value
Return distribution of sources of loss: aggregate, random or regular.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
EffectivenessOfSolution , NonAttentionLevel , LossSource
Examples
library(ImportanceIndice)
data("DataLossSource")
data("DataSolutionSource")
Distribution_LossSource(DataLossSource)
Distribution_SolutionSource(DataSolutionSource)
Solution source distribution information
Description
Indicates the distribution of sources of solution: aggregate, random or regular.
Usage
Distribution_SolutionSource(SolutionData)
Arguments
SolutionData |
It is an matrix object containing data from solution sources. |
Value
Return distribution of sources of solution: aggregate, random or regular.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
EffectivenessOfSolution , NonAttentionLevel , LossSource
Examples
library(ImportanceIndice)
data("DataLossSource")
data("DataSolutionSource")
Distribution_LossSource(DataLossSource)
Distribution_SolutionSource(DataSolutionSource)
Function to estimate the effectiveness of solution sources (S.S.) by loss source (Percentage_I.I. > 0.00) in the production system.
Description
This function allows to calculate E.S. of each S.S. by L.S. (significant in the reduction of production) in the productive system. Equation: E.S. = R2 x (1 - P) when it is of the first degree, or E.S. = ((R2 x (1 - P))x(B2/B1) when it is of the second degree. Where, R2 = determination coefficient and P = significance of ANOVA, B1 = regression coefficient, and B2 = regression coefficient (variable2), of the simple regression equation of the S.S..
Usage
EffectivenessOfSolution(DataLossSource,DataSolutionSource,Production, verbose=TRUE)
Arguments
DataLossSource |
It is an matrix object containing data from loss sources. |
DataSolutionSource |
It is an matrix object containing data from solution sources. |
Production |
It is a vector containing the production data. |
verbose |
Logical value (TRUE/FALSE). TRUE displays the results of the effectiveness of solution |
Value
The function returns several indices associated with the source of loss.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
LossProduction , NonAttentionLevel
Examples
library(ImportanceIndice)
data("DataLossSource")
data("DataSolutionSource")
data("DataProduction")
data("DataNumberSamples")
Distribution_LossSource(DataLossSource)
Distribution_SolutionSource(DataSolutionSource)
#################################################
###################################################
LS<-LossSource(DataLoss = DataLossSource,DataProd = DataProduction)
LS
LP<-LossProduction(Data=DataLossSource,Prod = DataProduction,
Evaluation=DataNumberSamples,
SegurityMargen=0.75,MaximumToleranceOfLossFruits=1)
LP
ES<-EffectivenessOfSolution(DataLossSource=DataLossSource,
DataSolutionSource=DataSolutionSource,Production=DataProduction)
ES
Analyzing data through of percentage of importance indice and its derivations
Description
The Percentage of Importance Indice (Percentage_I.I.) bases in magnitudes, frequencies, and distributions of occurrence of an event. This index can detect the key loss sources (L.S) and solution sources (S.S.), classifying them according to their importance in terms of loss or income gain, on the productive system. The Percentage_I.I. = ((ks1 x c1 x ds1)/SUM(ks1 x c1 x ds1) + (ks2 x c2 x ds2) + (ksn x cn x dsn)) x 100. key source (ks) is obtained using simple regression analysis and magnitude (abundance). Constancy (c) is SUM of occurrence of L.S. or S.S. on the samples (absence = 0 or presence = 1), and distribution source (ds) is obtained using chi-square test. This index has derivations: i.e., i) Loss estimates and solutions effectiveness and ii) Attention and non-attention levels.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
References
DEMOLIN-LEITE, G.L., 2021. Importance indice: loss estimates and solution effectiveness on production. Cuban Journal of Agricultural Science, vol. 55, no. 2, pp. 1-7. <http://scielo.sld.cu/pdf/cjas/v55n2/2079-3480-cjas-55-02-e10.pdf>
DEMOLIN-LEITE, G.L., 2024. Do arthropods and diseases affect the production of fruits on Caryocar brasiliense Camb. (Malpighiales: Caryocaraceae)? Brazilian Journal of Biology, vol. 84, pp. e253215. <https://doi.org/10.1590/1519-6984.253215>
Obtaining indices associated with loss of production.
Description
Allows calculating loss of production per
loss source (L.P.L.S.) and its total, maximum estimated production (M.E.P.),
percentage of loss of production per loss source (Percentage_L.P.L.S.=P.L.P.L.S.)
and its total, n_per_sample, and attention level (A.L.).
Equations:
*L.P.L.S. = total n of the L.S. x R.P. of the L.S. Where R.P. is R2 x (1 - P)
when it is of the first degree, or R.P. = ((R2 x (1 - P))x(B2/B1) when it
is of the second degree. Where, R2 = determination coefficient and
P = significance of ANOVA, B1 = regression coefficient, and
B2 = regression coefficient (variable2), of the simple regression equation of the L.S.
*M.E.P. = Total production (P.) + SUM L.P.L.S.1 + ....L.P.L.S.n.
*Percentage_L.P.L.S. = (L.P.L.S./M.E.P.) x 100.
* n_per_sample is n per sample
*A.L. = (n of the L.S. per sample x 0.75)/Percentage_L.P.L.S..
Where, n of the L.S. per sample = n/(number of trees/evaluation frequency/years/number of plant parts evaluated).
In this case, the number of trees = 20; evaluation frequency = 12 months per year for leaves, trunks, and branches,
two months for bunches of flowers per year, and three months for bunches of fruits per year; years = three;
and the number of plant parts evaluated = 12 leaves, 12 bunches of flowers and/or fruits,
and one trunk per tree/evaluation. And, 0.75 = 1 percent of loss fruits x 0.75 (safety margin).
Usage
LossProduction(DataLossSource,Prod,Evaluation,SegurityMargen=0.75,
MaximumToleranceOfLossFruits=1)
Arguments
DataLossSource |
It is an matrix object containing data from loss sources. |
Prod |
Matrix with a column containing the production data. |
Evaluation |
Matrix containing three lines with the number of evaluations performed on each individual, the number of months evaluated and the number of evaluations performed per month. Must have a column for each source of loss. |
SegurityMargen |
Segurity margen (default=0.75) |
MaximumToleranceOfLossFruits |
Maximum tolerance in percentage (default=1) |
Value
The function returns several indices associated with the production loss.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
EffectivenessOfSolution , NonAttentionLevel , LossSource
Examples
library(ImportanceIndice)
data("DataLossSource")
data("DataSolutionSource")
data("DataProduction")
data("DataNumberSamples")
Distribution_LossSource(DataLossSource)
Distribution_SolutionSource(DataSolutionSource)
#################################################
###################################################
LS<-LossSource(DataLoss = DataLossSource,DataProd = DataProduction)
LS
LP<-LossProduction(Data=DataLossSource,Prod = DataProduction,
Evaluation=DataNumberSamples,
SegurityMargen=0.75,MaximumToleranceOfLossFruits=1)
LP
ES<-EffectivenessOfSolution(DataLossSource=DataLossSource,
DataSolutionSource=DataSolutionSource,Production=DataProduction)
ES
Obtaining indices associated with sources of loss
Description
These functions allow to calculate the total n of the L.S. (n),
R.P., ks, c, ds, n.I.I., Sum.n.I.I., and percentage of I.I. (P.I.I.) by each L.S..
Equations:
n=total n per sample
k.s.= R.P./n
c = SUM of occurrence of L.S. on the samples, where, absence = 0 or presence = 1.
ds = 1 - P of the chi-square test of L.S. on the samples.
n.I.I.=ks x c x ds
Sum.n.I.I. = sum of all n.I.I.
Percentage of I.I. (P.I.I.)=(n.I.I. of each L.S./sum of all n.I.I.)*100
Usage
LossSource(DataLoss,DataProd)
Arguments
DataLoss |
It is an matrix object containing data from loss sources. |
DataProd |
Matrix with a column containing the production data. |
Value
The function returns several indices associated with the loss source.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
EffectivenessOfSolution , NonAttentionLevel
Examples
library(ImportanceIndice)
data("DataLossSource")
data("DataSolutionSource")
data("DataProduction")
data("DataNumberSamples")
Distribution_LossSource(DataLossSource)
Distribution_SolutionSource(DataSolutionSource)
#################################################
###################################################
LS=LossSource(DataLoss = DataLossSource,DataProd = DataProduction)
LS
LP=LossProduction(Data=DataLossSource,Prod = DataProduction,
Evaluation=DataNumberSamples,
SegurityMargen=0.75,MaximumToleranceOfLossFruits=1)
LP
ES=EffectivenessOfSolution(DataLossSource=DataLossSource,
DataSolutionSource=DataSolutionSource,Production=DataProduction)
ES
Estimates levels of non-attention.
Description
Functions to estimate E.S., income gain (I.G.), percentage of I.G.=P.I.G., and non-attention level (N.A.L.) of each S.S. per L.S., and their partial sum of I.G. and P.I.G. of S.S. inside each L.S., and the total of I.G. and P.I.G. on the productive system.
Usage
NonAttentionLevel(EffectivenessOfSolution,
LossProduction,
Id,
SafetyMargin=1.25,
Verbose=TRUE)
Arguments
EffectivenessOfSolution |
Output generated by the function 'EffectivenessOfSolution' |
LossProduction |
Output generated by the function 'LossProduction' |
Id |
Logical vector indicating the lines of the 'EffectivenessOfSolution' that are relevant. Output generated by the function SelectEffectivenessOfSolution |
SafetyMargin |
Safety Margin (Default=1.25) |
Verbose |
Logical value (TRUE/FALSE). TRUE displays the results of the analysis. |
Value
The function returns levels of non-attention.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
EffectivenessOfSolution ,
NonAttentionLevel , LossSource
Examples
library(ImportanceIndice)
data("DataLossSource")
data("DataSolutionSource")
data("DataProduction")
data("DataNumberSamples")
Distribution_LossSource(DataLossSource)
Distribution_SolutionSource(DataSolutionSource)
#################################################
###################################################
LS<-LossSource(DataLoss = DataLossSource,DataProd = DataProduction)
LS
LP<-LossProduction(Data=DataLossSource,Prod = DataProduction,
Evaluation=DataNumberSamples,
SegurityMargen=0.75,MaximumToleranceOfLossFruits=1)
LP
ES<-EffectivenessOfSolution(DataLossSource=DataLossSource,
DataSolutionSource=DataSolutionSource,Production =DataProduction)
ES
id<-SelectEffectivenessOfSolution(ES)
id<-c(TRUE , TRUE, TRUE , FALSE, TRUE)
SS<-SolutionSource(SolutionData = DataSolutionSource,
EffectivenessOfSolution = ES,Production = DataProduction,Id = id)
SS
NAL<-NonAttentionLevel(EffectivenessOfSolution = ES,LossProduction = LP,Id = id,Verbose=TRUE)
NAL
Determine the pair by pair effects that are important for the analysis.
Description
Selects, pair by pair, the effect of S.S. on L.S.
Usage
SelectEffectivenessOfSolution(EffectivenessOfSolution)
Arguments
EffectivenessOfSolution |
Output generated by the function 'EffectivenessOfSolution' |
Value
Returns a vector with logical values demonstrating the interactions considered important for the analysis.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
EffectivenessOfSolution , NonAttentionLevel , LossSource
Examples
library(ImportanceIndice)
data("DataLossSource")
data("DataSolutionSource")
data("DataProduction")
data("DataNumberSamples")
Distribution_LossSource(DataLossSource)
Distribution_SolutionSource(DataSolutionSource)
#################################################
###################################################
LS<-LossSource(DataLoss = DataLossSource,DataProd = DataProduction)
LS
LP<-LossProduction(Data=DataLossSource,Prod = DataProduction,
Evaluation=DataNumberSamples,
SegurityMargen=0.75,MaximumToleranceOfLossFruits=1)
LP
ES<-EffectivenessOfSolution(DataLossSource=DataLossSource,
DataSolutionSource=DataSolutionSource,Production =DataProduction)
ES
id<-SelectEffectivenessOfSolution(ES)
id<-c(TRUE , TRUE, TRUE , FALSE, TRUE)
SS<-SolutionSource(SolutionData = DataSolutionSource,
EffectivenessOfSolution = ES,Production = DataProduction,Id = id)
SS
NAL<-NonAttentionLevel(EffectivenessOfSolution = ES,LossProduction = LP,Id = id,Verbose=TRUE)
NAL
Obtaining indexes associated with the solution sources.
Description
Function to estimate the total n of the S.S. (n), E.S., ks, c, ds, n.I.I., Sum.n.I.I., and percentage of I.I. (P.I.I.) by each S.S..
Usage
SolutionSource(SolutionData,Production,EffectivenessOfSolution,Id,Verbose=TRUE)
Arguments
SolutionData |
It is an matrix object containing data from Solution sources. |
Production |
Matrix with a column containing the production data. |
EffectivenessOfSolution |
Output generated by the function 'EffectivenessOfSolution' |
Id |
Logical vector indicating the lines of the 'EffectivenessOfSolution' that are relevant. Output generated by the function SelectEffectivenessOfSolution |
Verbose |
Logical value (TRUE/FALSE). TRUE displays the results of the analysis. |
Value
The function returns indices associated with the source of loss.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
Examples
library(ImportanceIndice)
data("DataLossSource")
data("DataSolutionSource")
data("DataProduction")
data("DataNumberSamples")
Distribution_LossSource(DataLossSource)
Distribution_SolutionSource(DataSolutionSource)
#################################################
###################################################
LS<-LossSource(DataLoss = DataLossSource,DataProd = DataProduction)
LS
LP<-LossProduction(Data=DataLossSource,Prod = DataProduction,
Evaluation=DataNumberSamples,
SegurityMargen=0.75,MaximumToleranceOfLossFruits=1)
LP
ES<-EffectivenessOfSolution(DataLossSource=DataLossSource,
DataSolutionSource=DataSolutionSource,Production =DataProduction)
ES
id<-SelectEffectivenessOfSolution(ES)
id<-c(TRUE , TRUE, TRUE , FALSE, TRUE)
SS<-SolutionSource(SolutionData = DataSolutionSource,
EffectivenessOfSolution = ES,Production = DataProduction,Id = id)
SS
NAL<-NonAttentionLevel(EffectivenessOfSolution = ES,LossProduction = LP,Id = id,Verbose=TRUE)
NAL