Temat: R software - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Visual techniques for categorical data in R
Metody wizualizacji danych w programie R
Autorzy:: Brzezińska, Justyna
Tematy:: visualization
categorical data
multiple bar charts
R software; Pokaż więcej
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Powiązania:: https://bibliotekanauki.pl/articles/425227.pdf Link otwiera się w nowym oknie
Opis:: Visualization is one of the most important parts of statistical analysis. In this paper we present a new method of multiple bar charts to display the frequencies of data tables split up into conditional relative frequencies of one target variable and the absolute frequencies of the corresponding combinations of the remaining explanatory variables. In this paper we present the R package extracat allowing for new graphical tools: rmp and cpcp plot [Pilhoefer, Unwin 2013]. The first plot uses the a crossover of mosaicplots and multiple barcharts to display the frequencies of a contingency table split up into conditional relative frequencies of one target variable and the absolute frequencies of the corresponding combination of the remaining explanatory variables. It provides a well-structured representation of the data with the possibility of easy interpretation. Another plot presented in the paper is the cpcp plot using parallel coordinates. Sequences of points are used to represent each of the variable categories, while ordering algorithms are applied to represent a hierarchical structure in the dataset.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 2.

Tytuł:: DISTANCE MEASURES IN AGGREGATING PREFERENCE DATA
Autorzy:: Zaborski, Artur
Tematy:: individual preferences
aggregation methods
distance measures
R software; Pokaż więcej
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Powiązania:: https://bibliotekanauki.pl/articles/655913.pdf Link otwiera się w nowym oknie
Opis:: The aim of this paper is to present aggregation methods of individual preferences scores by means of distance measures. Three groups of distance measures are discussed: measures which use preference distributions for all pairs of objects (e.g. Kemeny’s measure, Bogart’s measure), distance measures based on ranking data (e.g. Spearman distance, Podani distance) and distance measures using permissible transformations to ordinal scale (GDM2 distance). Adequate distance formulas are presented and the aggregation of individual preference by using separate distance measures was carried out with the use of the R program.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 3.

Tytuł:: Nominal response : based conjoint analysis of banking products
Autorzy:: Brzezińska, Justyna
Sagan, Adam
Rybicka, Aneta
Wydawca:: International Business Information Management Association
Opis:: The aim of the paper is application of Nominal Response IRT (NR-IRT) polytomous measurement model (Bock 1972) within the framework of conjoint analysis of banking product on Polish market. Proposed approach links the tradition of conjoint measurement of dominance structures in attitude measurement with the preference analysis. Incorporating the explicit measurement model within the conjoint analysis allows for error - in variables effect and controlling for downward bias in estimates of the parameters. Additionally, it combines the fundamental conjoint measurement of Rasch tradition with the preference - oriented conjoint analysis.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

Inne

na półce

Skocz do pozycji: 4.

Tytuł:: A polytomous item response theory models using R
Politomiczne modele teorii odpowiedzi na pozycje testowe w programie R.
Autorzy:: Brzezińska, Justyna
Tematy:: IRT models
multidimensional IRT models
measurement theory
R software; Pokaż więcej
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Powiązania:: https://bibliotekanauki.pl/articles/425272.pdf Link otwiera się w nowym oknie
Opis:: Item response theory (IRT) is widely used in educational and psychological research to model how participants respond to test items in isolation and in bundles. Item response theory has replaced classical measurement theory as a framework for test development, scale constructions, scree reporting and test evaluation. The most popular of the item response models for multiple choice tests are the one-parameter (i. e. the Rasch model) and threeparameter models. This is the general framework for specifying the functional relationship between a respondent’s underlying latent trait level, commonly known as ability in educational testing, or the factor score in the factor analysis tradition and an item level stimulus. In this paper, arguments are offered for continuing research and applying multidimensional IRT models. The position is also taken that multi-parameter IRT models have potentially important roles to play in the advancement of measurement theory about which models to use should depend on model fit to the test data. All calculations are conducted in R available from CRAN which is a widely-used and well-known environment for statistical computing and graphics.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 5.

Tytuł:: Analysis of latent class models in economic research
Analiza modeli zmiennych ukrytych w badaniach ekonomicznych
Autorzy:: Brzezińska, Justyna
Tematy:: latent class models
latent variables
categorical data analysis
R software; Pokaż więcej
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Powiązania:: https://bibliotekanauki.pl/articles/425114.pdf Link otwiera się w nowym oknie
Opis:: Latent variable models are used and applied in many areas of the social and behavioral sciences. The increasing availability of computer packages for fitting such models makes latent variable models popular, known and applied in many scientific areas. Latent variable models have a very wide range of applications, especially in the presence of repeated observations, longitudinal data, and multilevel data. The basic model postulates an underlying categorical latent variable; within any category of the latent variable the manifest or observed categorical variables are assumed independent of one another (the axiom of conditional independence). The observed relationships between the manifest variables are thus assumed to result from the underlying classification of the data produced by the categorical latent variable. In this paper we present the theoretical and methodological aspects of latent variable models, as well as their application in R software in the field of economic research.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 6.

Tytuł:: Statistical analysis of economic poverty in Poland using R
Statystyczna analiza ekonomicznego ubóstwa w Polsce z wykorzystaniem programu R
Autorzy:: Brzezińska, Justyna
Tematy:: economic poverty
multivariate statistical analysis
categorical data analysis
R software; Pokaż więcej
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Powiązania:: https://bibliotekanauki.pl/articles/425034.pdf Link otwiera się w nowym oknie
Opis:: Economic poverty is one of the more common and complex problems in the modern world, as well as in Poland. This is a complex and multidimensional phenomenon, and therefore there is no single universally valid definition of poverty. This article presents a statistical analysis of economic poverty in Poland based on real data from the Central Statistical Office of Poland. An in-depth statistical analysis of the social situation of Poles will be presented, as well as an attempt to examine interdependencies in the occurrence of various forms of poverty and social exclusion in Poland. In the article, several multivariate statistical methods are presented together with the graphical presentation of results. We present a correspondence analysis with a perception map, as well as the advanced modern visualizing tool for categorical data. All the calculations were conducted using R software.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 7.

Tytuł:: Visualization of categorical data using extracat package in R
Wizualizacja danych jakościowych z wykorzystaniem pakietu extracat programu R
Autorzy:: Brzezińska, Justyna
Tematy:: categorical data
cpcp plot
rmb plot
fluctile plot
R software; Pokaż więcej
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Powiązania:: https://bibliotekanauki.pl/articles/425199.pdf Link otwiera się w nowym oknie
Opis:: Visualization in research process plays a crucial role. There are several advanced plots for visualizing categorical data, such as mosaic, association, double-decker, sieve or fourfold plot that are based on the graphical presentation of residuals in a contingency table. In this paper we present new methods for visualizing categorical data such as rmb, fluctile and scpcp plot available in extracat package in R. This package provides a well-structured representation of categorical data and allows for a detailed presentation of the relationship between categories in terms of proportions. We describe rmb, fluctile and cpcp. Those plots are based on the concept of multiple bar charts, a fluctuation diagram from a multidimensional table and parallel coordinates respectively. Such plots are mostly used for a visualization of a contingency table or a data frame; they can also be used for exploratory analysis and allows for a graphical presentation even for a high number of variables [Pilhöfer, Unwin 2013]. All the calculations and plots are obtained using R software.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 8.

Tytuł:: Item response theory models in the measurement theory with the use of LTM package in R
Analiza teorii odpowiedzi na pozycje testowe w teorii pomiaru z zastosowaniem pakietu LTM programu R
Autorzy:: Brzezińska, Justyna
Tematy:: Item Response Theory (IRT)
measurement theory
latent class analysis
R software; Pokaż więcej
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Powiązania:: https://bibliotekanauki.pl/articles/424883.pdf Link otwiera się w nowym oknie
Opis:: Item Response Theory (IRT) is an extension of the Classical Test Theory (CCT) and focuses on how specific test items function in assessing a construct. They are widely known in psychology, medicine, and marketing, as well as in social sciences. An item response model specifies a relationship between the observable examinee test performance and the unobservable traits or abilities assumed to underlie performance on the test. Within the broad framework of item response theory, many models can be operationalized because of the large number of choices available for the mathematical form of the item characteristic curves. In this paper we introduce several types of IRT models such as: the Rasch, and the Birnbaum model. We present the main assumptions for IRT analysis, estimation method, properties, and model selection methods. In this paper we present the application of IRT analysis for binary data with the use of the ltm package in R.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 9.

Tytuł:: Implementation of forecasting tool in the logistics company – case study
Autorzy:: Kmiecik, Mariusz
Tematy:: distribution network
forecasting
logistics operator
R software
sieć dystrybucyjna
prognozowanie
operator logistyczny
oprogramowanie R; Pokaż więcej
Wydawca:: Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Powiązania:: https://bibliotekanauki.pl/articles/58969557.pdf Link otwiera się w nowym oknie
Opis:: Purpose: The main aim of following article is the implementation and results analysis of created forecasting tool. Created tool is a tool for automated prediction of future demands level in chosen distribution networks where logistics operator is acting as a service provider. Design/methodology/approach: Article shows the conception of created forecasting tool and presents the deviations of forecasts from real values. Findings: Logistics enterprise could implement the forecasting tool to improvement their own activity. However it demands depth assortment analyzing and also it demands supporting the processes of automated forecasting by forecasting processes based on quality and mixed methods. Originality/value: The value of following article is showing the new function of logistics enterprise which is demand forecasting. It could be also a value added activity which logistic operator could offer to their customers.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 10.

Tytuł:: Determination of the thickness of anodized layer on the basis mathematical models
Autorzy:: Anna, Piochacz
Mikołajczyk, Jarosław Robert
Tematy:: electroplating
anodizing
statistic
software R; Pokaż więcej
Wydawca:: Politechnika Bydgoska im. Jana i Jędrzeja Śniadeckich. Wydawnictwo PB
Powiązania:: https://bibliotekanauki.pl/articles/55991908.pdf Link otwiera się w nowym oknie
Opis:: The process of aluminium surface anodizing carries many variable factors that can be influenced to optimize this process. Efforts to obtain surfaces resistant to corrosion are desirable and always valid. The paper presents preliminary studies on the influence to selected parameters of the anodizing process on the thickness of the anodic coating obtained. On the basis of obtained test results, implemented into R software [1-20], appropriate models were built from which one, the most adequate model, was selected.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Informacja

Wyszukujesz frazę "R software" wg kryterium: Temat