<b>missMDA</b>: A Package for Handling Missing Values in Multivariate Data Analysis

Josse, Julie; Husson, François

doi:10.18637/jss.v070.i01

Cited by 1,053 publications

(821 citation statements)

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“…According to the above criteria, only principal components (PCs) with values higher than the values of the principal components were considered [35,50]. The percentage explained by the fi rst two dimensions is 71%, and according to [19] it is very high. In literature it is assumed that if the percentage explained by the fi rst two dimensions is 75%, then it is statistically signifi cant [34].…”

Section: Resultsmentioning

confidence: 99%

“…It provides results and loads minimizing the least squares criterion with respect to observed values [19], attribution of experimental results, and missing values in a dataset [62].…”

Section: Resultsmentioning

confidence: 99%

“…Several authors [15,[18][19][20] undertook the task of estimating the maximum part of missing data values. They showed that this is impossible because there is no mathematical upper limit for the missing data estimation.…”

Section: Resultsmentioning

confidence: 99%

“…This paper attempts to use PCA to determine incomplete data [3,6,[9][10][11][12][13][14][15][16][17][18][19][20][21][22] collected during investigations of Czajcze Lake in Wolin National Park (WNP) in 1983-2013.…”

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confidence: 99%

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The Possibility of Applying the EM-PCA Procedure to Lake Water

Bucior-Kwaczyńska¹

2018

Pol. J. Environ. Stud.

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Section: Resultsmentioning

confidence: 99%

“…It provides results and loads minimizing the least squares criterion with respect to observed values [19], attribution of experimental results, and missing values in a dataset [62].…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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The Possibility of Applying the EM-PCA Procedure to Lake Water

Bucior-Kwaczyńska¹

2018

Pol. J. Environ. Stud.

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“…A projeção dos perfis da tabela indicadora cruzando indivíduos e todas as variáveis de opinião simultaneamente num plano grá-fico permite visualizar com mais facilidade as associações entre as variáveis, e é possível também projetar as posições de variáveis suplementares para ilustrar eventuais diferenças. Todas as análises foram realizadas no programa R (R Core Team, 2015), com auxílio dos pacotes FactoMineR (Lê, Josse, & Husson, 2008), factoextra (Kassambara, & Mundt, 2016), missMDA (Josse, & Husson, 2016) e GDAtools (Robette, 2014).…”

Section: Procedimentounclassified

Ideologia nas Opiniões de Estudantes de Ensino Médio sobre Sucesso no Trabalho

Wachelke

2017

Psicol. cienc. prof.

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Resumo:As opiniões e crenças de adolescentes sobre o sucesso no trabalho constituem um contexto psicossocial pertinente para identificar indícios de efeitos ideológicos, já que se referem às expectativas e ao planejamento das atividades que inscreverão ou inscrevem cada pessoa no espaço social das relações com meios de produção. O estudo avaliou indicadores de opinião sobre sucesso no trabalho da Pesquisa de Percepções Sociais de Estudantes Uberlandenses (Perseu) de 2013, realizada junto a 736 estudantes da segunda série do ensino médio de três escolas. A análise de dados consistiu em estatísticas descritivas das opiniões por meio de cruzamentos de frequências a partir de estratos de renda familiar e escolaridade da mãe, e análise de correspondências múltiplas. Os resultados indicaram tendência de consenso na amostra a respeito da meritocracia como princípio vigente para garantir o sucesso no trabalho, bem como maior adesão dos estratos de renda e escolaridade inferiores a opiniões recomendando a obediência a chefes e normas de empresas. A discussão centra-se no processo de naturalização ideológica e sua relação com os consensos sociais e busca explicar o perfil de opinião dos estratos desfavorecidos a partir de tendências psicológicas de justificação do sistema e da avaliação racional da restrição de possibilidades de vida.Palavras-chave: Ideologia, Trabalho, Meritocracia, Adolescentes, Opiniões. Ideology in the Opinions of Secondary School Students on Success at WorkThe opinions and beliefs of adolescents regarding success at work constitute a relevant psychosocial context to identify evidence of ideological effects, since they refer to the expectations and planning of activities that will insert or insert each person in the social space of the relationships with production means. The study has assessed opinion indicators on success at work from the 2013 Uberlandia Students' Social Perceptions Survey (Perseu), carried out with 736 secondary school students from three schools. Data analysis consisted in descriptive statistics of opinions through frequency crosstabs from family income and mother education strata, as well as multiple correspondence analysis. Results indicated a consensus trend in the sample concerning meritocracy as a ruling principle to ensure success at work and higher agreement from lower income and education strata with opinions recommending the obedience to bosses and firm norms. Discussion focuses on the ideological naturalization process and its relationship with social consensus and aims at explaining the opinion profile of disadvantaged strata by means of psychological trends of system justification and rational assessment of life possibilities.

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Regularized principal covariates regression and its application to finding coupled patterns in climate fields

Fischer

2014

JGR Atmospheres

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There are many different methods for investigating the coupling between two climate fields, which are all based on the multivariate regression model. Each different method of solving the multivariate model has its own attractive characteristics, but often the suitability of a particular method for a particular problem is not clear. Continuum regression methods search the solution space between the conventional methods and thus can find regression model subspaces that mix the attractive characteristics of the end-member subspaces. Principal covariates regression is a continuum regression method that is easily applied to climate fields and makes use of two end-members: principal components regression and redundancy analysis. In this study, principal covariates regression is extended to additionally span a third end-member (partial least squares or maximum covariance analysis). The new method, regularized principal covariates regression, has several attractive features including the following: it easily applies to problems in which the response field has missing values or is temporally sparse, it explores a wide range of model spaces, and it seeks a model subspace that will, for a set number of components, have a predictive skill that is the same or better than conventional regression methods. The new method is illustrated by applying it to the problem of predicting the southern Australian winter rainfall anomaly field using the regional atmospheric pressure anomaly field. Regularized principal covariates regression identifies four major coupled patterns in these two fields. The two leading patterns, which explain over half the variance in the rainfall field, are related to the subtropical ridge and features of the zonally asymmetric circulation.

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missMDA: A Package for Handling Missing Values in Multivariate Data Analysis

Cited by 1,053 publications

References 59 publications

The Possibility of Applying the EM-PCA Procedure to Lake Water

The Possibility of Applying the EM-PCA Procedure to Lake Water

Ideologia nas Opiniões de Estudantes de Ensino Médio sobre Sucesso no Trabalho

Regularized principal covariates regression and its application to finding coupled patterns in climate fields

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