An Introduction to Data Analysis in R

Zamora, Alfonso; González, Carlos Quesada; Gil, Lluís Hurtado; Ruiz, Diego Mondéjar

doi:10.1007/978-3-030-48997-7

Cited by 6 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first part was calculated using only functions from the default libraries from R. The InfoGain filter was computed by means of the FSelector package [52] and the Deepboosting model was trained using the caret package [47], validating the results by means of 200 group Monte Carlo cross validations with non-overlapping patients so that the accuracy is not over optimistic, using 75% of the observations for the train. Additionally, the library data table was used to perform much of the preprocessing [53] and doParallel was used for parallelization.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Effectiveness of a Supplement Combining Harpagophytum procumbens, Zingiber officinale and Bixa orellana in Healthy Recreational Runners with Self-Reported Knee Pain: A Pilot, Randomized, Triple-Blind, Placebo-Controlled Trial

González‐Gross

Quesada-González

Rueda

et al. 2021

IJERPH

View full text Add to dashboard Cite

Recreational running (RR) is becoming a popular way to increase physical activity for improving health, together with a higher incidence of knee injuries. The aim was to analyze the effect of a four-week supplementation with a mixture of Harpagophytum procumbens, Zingiber officinale and Bixa orellana on males, middle-aged, RR with an undiagnosed knee discomfort. A randomized triple-blind placebo-control trial was conducted among male RR aged 40–60 years suffering from self-declared knee discomfort after training. Participants were assigned to supplementation (2 g/day in 6 doses; n = 13; intervention group (IG)) or matched placebo (n = 15; control group (CG)) for 4 weeks. At pre- and post-intervention, assessment of routine blood biomarkers, body composition, running biomechanics and body temperature was performed using standardized procedures. Machine learning (ML) techniques were used to classify whether subjects belonged to IG or CG. ML model was able to correctly classify individuals as IG or CG with a median accuracy of 0.857. Leg fat mass decreased significantly (p = 0.037) and a deeper reduction in knee thermograms was observed in IG (p < 0.05). Safety evaluation revealed no significant differences in the rest of parameters studied. Subjects belonging to IG or CG are clearly differentiated, pointing into an effect of the supplement of ameliorating inflammation.

show abstract

Section: Discussionmentioning

confidence: 99%

Analysis of Effectiveness of a Supplement Combining Harpagophytum procumbens, Zingiber officinale and Bixa orellana in Healthy Recreational Runners with Self-Reported Knee Pain: A Pilot, Randomized, Triple-Blind, Placebo-Controlled Trial

González‐Gross

Quesada-González

Rueda

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Two analyses were carried out, one for those who use online e-commerce and another one for those who do not. In both cases, the dataset was preprocessed in a standard way (Zamora et al, 2020), removing missing values and identifying categorical values. All statistical techniques described below were carried out using R 4.0.1 under the front end RStudio 1.2.5001.…”

Section: Methodsmentioning

confidence: 99%

E-Commerce, social media and Social Inclusion: A Typology of Users Over 60 Years of Age in Spain

Abad

Jiménez

Quesada-González

2022

Communication & Society

View full text Add to dashboard Cite

The growth of e-commerce and the ageing of the world population converges in a situation which represents significant challenges for the economy: a large population of over 65year-olds with major limitations for online shopping. The digital division, although reduced in certain sectors, in others, such as e-commerce persists. This research involves the study of 405 subjects, Spanish seniors aged between 60 and 79, to discover and analyse the barriers, motivators and behaviour with regards to shopping online. Using a telephone survey and a random sample, a typology of users was established as per their behaviour and perception of e-commerce. The main finding is the segmentation in eleven typologies of users, identified through cluster analysis. The major conclusions confirm the barriers related to data security or levels of confidence. Furthermore, with basic digital skills, seniors consider themselves capable of completing purchases on the Internet. Online shoppers feel empowered being digitally self-sufficient, while non-shoppers desiring to be independent, require the implementation of measures to aid the process on commercial websites.

show abstract

“…Un modelo de regresión lineal múltiple es una función lineal que intenta modelar una respuesta 𝑌 a través de una combinación lineal de predictores o covariables 𝑥 [15]. En general se tienen n observaciones de la variable 𝑌. 𝑦 1 , 𝑦 2 , … , 𝑦 𝑛 son observaciones independientes de 𝑌, y siguen un modelo lineal si se puede expresar como (1) [16].…”

Section: Modelo De Regresión Lineal Múltipleunclassified

Modelación estadística para analizar el rendimiento y contenido de carbono de biomasas agroindustriales

Pinto-Altamiranda,

Gómez R,

González

et al. 2023

TecnoL.

View full text Add to dashboard Cite

En la agroindustria se genera una considerable cantidad de residuos, los cuales pueden ser tratados usando diversas tecnologías termoquímicas como la carbonización hidrotermal. El rendimiento y contenido de carbono de biomasas son dos de las características más comunes que se estudian dentro del proceso generado en estas tecnologías tecnoquímicas, y usualmente se aplican análisis químicos y técnicas estadísticas, tales como pruebas t-student, análisis de varianza o modelos de superficies de respuestas para optimizar estas respuestas o estimar el efecto que ciertos factores puedan tener sobre estas. A diferencia de las investigaciones abordadas en esta área de la química, este estudio tuvo como propósito introducir diferentes técnicas alternativas de la estadística para la modelación de este tipo de datos con el fin de proponer diferentes estrategias de análisis que permitan ampliar el conocimiento de los fenómenos estudiados en esta área. Para ello, se presentó la modelación estadística de dos bases de datos provenientes de bagazo de manzana y de arándanos que contienen un total de cuatro factores (tiempo, humedad, potencia, temperatura) y dos respuestas a analizar por separado (contenido de carbono y rendimiento del proceso). En este estudio se observa que el tiempo, la temperatura y la humedad tienen un efecto conjunto sobre el rendimiento del proceso y el contenido de carbono de la biomasa proveniente de la manzana. Se concluye que, técnicas como modelos lineales generalizados con respuesta beta y los modelos aditivos generalizados de posición, escala y forma, proporcionan un mayor conocimiento del fenómeno de interés y la capacidad de estimar el efecto de los factores estudiados sobre respuestas que naturalmente no poseen un comportamiento distribucional como el modelo normal.

show abstract

An Introduction to Data Analysis in R

Cited by 6 publications

References 0 publications

Analysis of Effectiveness of a Supplement Combining Harpagophytum procumbens, Zingiber officinale and Bixa orellana in Healthy Recreational Runners with Self-Reported Knee Pain: A Pilot, Randomized, Triple-Blind, Placebo-Controlled Trial

Analysis of Effectiveness of a Supplement Combining Harpagophytum procumbens, Zingiber officinale and Bixa orellana in Healthy Recreational Runners with Self-Reported Knee Pain: A Pilot, Randomized, Triple-Blind, Placebo-Controlled Trial

E-Commerce, social media and Social Inclusion: A Typology of Users Over 60 Years of Age in Spain

Modelación estadística para analizar el rendimiento y contenido de carbono de biomasas agroindustriales

Contact Info

Product

Resources

About