Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "R" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 16
Tytuł:
The importance of Research and Development expenditure for the competitiveness of manufacturing enterprises in Poland. The application of panel models
Znaczenie nakładów na działalność badawczo-rozwojową dla konkurencyjności przedsiębiorstw przetwórstwa przemysłowego w Polsce. Zastosowanie modeli panelowych
Autorzy:
Grzelak, Maria M.
Laskowska, Iwona
Roszko-Wójtowicz, Elżbieta
Powiązania:
https://bibliotekanauki.pl/articles/424845.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
R&D expenditure
competitiveness
manufacturing
panel models
Opis:
In contemporary research and economic discussions, a great deal of attention is paid to issues concerning the relationship between competitiveness and research and development (R&D) activity. The measurement and assessment of the impact of R&D activity are extremely difficult but at the same time very important, in particular for authorities determining the level of expenditure on R&D and the method of spending public funds as well as for enterprises assessing the expected profits derived from R&D. The main aim of the article is an attempt to quantify the impact of R&D expenditure on three selected characteristics defining the competitiveness of manufacturing enterprises (gross value added, sold production and labour productivity). The analysis was carried out using panel models. The study makes use of statistical data published by the Central Statistical Office for individual divisions of manufacturing (Section C of the Polish Classification of Activities – PKD) in the years 2009-2016. The conducted analyses indicate that R&D expenditure constitutes a significant determinant of the competitiveness of the analysed divisions of manufacturing.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 3; 9-22
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cząstkowy układ czynnikowy i jego implementacja w module CONJOINT programu R
Fractional factorial designand its implementation in CONJOINT package R program
Autorzy:
Bartłomowicz, Tomasz
Bąk, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/425042.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
fractional factorial design
conjoint analysis
R program
Opis:
The paper presents the development of R package for conjoint features: caFactorialDesign() function which allows to generate a complete or fractional factorial design and caEncodedDesign() function which allows to encode obtained experiments. The basis of both functions is the implementation of AlgDesign package functions in conjoint package. In the proposed solution, it is assumed that to obtain a relevant factorial design the number of variables and their levels with the names of variables should be enough.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 2(40); 103-114
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of changes in population aging of Polish provinces in 2002, 2010 and 2017 using the hybrid approach
Autorzy:
Walesiak, Marek
Dehnel, Grażyna
Powiązania:
https://bibliotekanauki.pl/articles/425239.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
ageing
multidimensional scaling
aggregate measures
R program
Opis:
The study investigates the variation in population ageing in Polish provinces in 2002, 2010 and 2017. Population ageing was assessed using the median age, proportion of elderly people, double ageing index, ageing index, and old-age dependency ratio. The authors took into account causes that explain changes occurring at the bottom and at the top of the population pyramid. By applying the hybrid approach combining multidimensional scaling with linear ordering (the two-step approach), the authors identified differences in the level of population ageing in a two-dimensional space. The paper applies a new method of automatic data collection from the Local Data Bank using the BDL package and the API interface (Application Programming Interface). The BDL API is a data-sharing service through webservice defining programming interfaces independent of the programming language, whereas the bdl package using this API enables webservice integration with the R statistical environment, eliminating the need for manual data extraction and enabling the automation of recurring activities.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 4; 1-15
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prognozowanie szeregów czasowych ze składową periodyczną z wykorzystaniem pakietu TSprediction programu R
Forecasting time series with periodic component using TSprediction R package
Autorzy:
Bartłomowicz, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/424791.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
forecasting
time-series methods
TSprediction package
R program
Opis:
The main aim of the paper is to present selected features of TSprediction package developed for R environment, which now is one of the most important commercial computing platforms (offered under the GNU GPL license). The article presents the features of the TSprediction package enabling the prediction of time series where there is a periodic component in the form of seasonal fluctuations. The package includes an implementation of the most popular time series methods of forecasting with a periodic component in the additive and multiplicative variety of ratio and Winters and Klein methods. The effects of selected forecasting functions and ex-post forecasting errors of TSprediction R package are presented in the examples.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 4(46); 199-210
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementacja metody maximum difference scaling w pakiecie MaxDiff programu R
Implementation of maximum difference scaling in MaxDiff R package
Autorzy:
Bartłomowicz, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/425002.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
consumers’ preferences
Maximum Difference Scaling
MaxDiff
R program
Opis:
Measurement of consumer preferences is one of the most important elements of marketing research. In the measurement of consumers’ preferences Maximum Difference Scaling method can be used, which was implemented in the module MaxDiff (Best-Worst Scaling) of Sawtooth Software. The aim of the article is to present the author’s MaxDiff package for the R program, which is one of the most important no-commercial programs offered under the GNU GPL licence with free access to the source code. The article presents some functions of the MaxDiff R package with the example of application of consumers’ preferences in empirical analysis.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 4(46); 189-198
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Visual techniques for categorical data in R
Metody wizualizacji danych w programie R
Autorzy:
Brzezińska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/425227.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
visualization
categorical data
multiple bar charts
R software
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.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2017, 3 (57); 26-36
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A polytomous item response theory models using R
Politomiczne modele teorii odpowiedzi na pozycje testowe w programie R.
Autorzy:
Brzezińska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/425272.pdf
Data publikacji:
2016
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
IRT models
multidimensional IRT models
measurement theory
R software
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.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 2 (52); 43-52
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Statistical analysis of economic poverty in Poland using R
Statystyczna analiza ekonomicznego ubóstwa w Polsce z wykorzystaniem programu R
Autorzy:
Brzezińska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/425034.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
economic poverty
multivariate statistical analysis
categorical data analysis
R software
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.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 2; 45-53
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Visualization of categorical data using extracat package in R
Wizualizacja danych jakościowych z wykorzystaniem pakietu extracat programu R
Autorzy:
Brzezińska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/425199.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
categorical data
cpcp plot
rmb plot
fluctile plot
R software
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.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 2; 9-19
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Visualization of linear ordering results for metric data with the application of multidimensional scaling
Wizualizacja wyników porządkowania liniowego dla danych metrycznych z wykorzystaniem skalowania wielowymiarowego
Autorzy:
Walesiak, Marek
Powiązania:
https://bibliotekanauki.pl/articles/424976.pdf
Data publikacji:
2016
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
linear ordering
multidimensional scaling
distance measures
composite measures
R environment
Opis:
The article discusses the two-step research procedure allowing the visualization of linear ordering results for metric data. In the first step, as a result of the application of multidimensional scaling (see [Borg, Groenen 2005; Mair et al. 2016]) the visualization of objects in two-dimensional space is obtained. In the next step, the linear ordering of a set of objects is carried out based on the Euclidean distance from the pattern (ideal) object. The suggested approach expanded the possibilities for the interpretation of the linear ordering results of a set of objects. The article applies the concept of isoquants and the path of development (the shortest way connecting a pattern and an anti-pattern object) proposed by [Hellwig 1981]. The graphical presentation of the linear ordering results based on this concept was possible for two variables only. The application of multidimensional scaling expanded the applicability of the results of linear ordering visualization for m variables. The suggested approach is illustrated by an empirical example with the application of R environment script.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 2 (52); 9-21
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of latent class models in economic research
Analiza modeli zmiennych ukrytych w badaniach ekonomicznych
Autorzy:
Brzezińska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/425114.pdf
Data publikacji:
2016
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
latent class models
latent variables
categorical data analysis
R software
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.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 4 (54); 36-47
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Powiązania:
https://bibliotekanauki.pl/articles/424883.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Item Response Theory (IRT)
measurement theory
latent class analysis
R software
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.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 1; 11-25
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The impact of R&D expenditure on productivity in the manufacturing industry in Poland
Autorzy:
Roszko-Wójtowicz, Elżbieta
Grzelak, Maria M.
Laskowska, Iwona
Powiązania:
https://bibliotekanauki.pl/articles/424959.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
R&D expenditure
competitiveness
manufacturing
static panel models
dynamic panel models
Opis:
EU strategy documents, including the Europe 2020 Strategy, emphasise the priority role of industry in the growth of EU economies. The aim of the presented research is to measure and assess the impact of expenditure on research and development (R&D) activities on the competitiveness of manufacturing divisions in Poland. Labour productivity, expressed as (1) a quotient of gross value added and employment, and (2) a quotient of sold production and employment in the analysed manufacturing divisions, was adopted as the measure of competitiveness. The empirical part of the paper is based on data published by the Central Statistical Office. The analysis covers the period 2009-2017 and provides a contribution to determining the role and importance of research and development as well as innovative activities in shaping competitive advantages of manufacturing enterprises. The obtained results for panel models confirm that R&D expenditure is a secondary factor in changes occurring in the Polish manufacturing industry.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 4; 112-138
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On the quality of regular correlated pairs (R(K), R0(K)), measured by the value of the coefficient R2(k)
Autorzy:
Plebaniak, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/424923.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
correlation matrix
universal matrix
Hellwig’s inequality
the coefficient r2(k)
Opis:
If a correlated pair (R(k), R0(k)) is a regular correlated pair, then the coefficient measuring the quality of such a pair satisfies the inequality: r2(k) ≥ F(k)...
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 3(41); 9-14
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The application of multidimensional scaling to measure and assess changes in the level of social cohesion of the Lower Silesia region in the period 2005-2015
Zastosowanie skalowania wielowymiarowego w pomiarze i ocenie zmian poziomu spójności społecznej województwa dolnośląskiego w latach 2005-2015.
Autorzy:
Walesiak, Marek
Powiązania:
https://bibliotekanauki.pl/articles/424988.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
social cohesion
multidimensional scaling
linear ordering
GDM1 distance
Theil decomposition
R program
Opis:
Social cohesion is the ability of territorial communities to ensure the welfare of all its members, to reduce social stratification and avoid polarization (EU/EC/CE 2004, p. 3). The assessment of social cohesion of the Lower Silesia region in the cross-section of counties in the period 2005-2015, was performed based on the variables from the following areas: income and economic activity of the population, living conditions of the population and the availability of services and public space. Multidimensional scaling combined with linear ordering and Theil decomposition were applied to measure and assess changes in the level of social cohesion of the Lower Silesia region in the cross-section of counties in the period 2005-2015. The level of social cohesion of all the counties (although in varying de-grees) was increased and the degree of differentiation of social cohesion was slightly de-creased during this period. The calculations were made with scripts prepared in R environ-ment.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2017, 3 (57); 9-25
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 16

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies