Analyzing Measurements of the R Statistical Open Source Software

Voulgaropoulou, Sophia; Spanos, Georgios; Angelis, Lefteris

doi:10.1109/sew.2012.7

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…Finally, R has been the object of two recent studies [13,41]. German et al [13] found differences in the growth rate as well as the way in which active contributors are attracted between user-contributed packages and core packages.…”

Section: Related Workmentioning

confidence: 99%

“…German et al [13] found differences in the growth rate as well as the way in which active contributors are attracted between user-contributed packages and core packages. Voulgaropoulou et al [41] analysed the quality of 508 R packages and found, e.g., that changes in social attributes such as the number of developers do not influence the code quality.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

How social Q&A sites are changing knowledge sharing in open source software communities

Vasilescu

Serebrenik

Dévanbu

et al. 2014

Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

180

103

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Historically, mailing lists have been the preferred means for coordinating development and user support activities. With the emergence and popularity growth of social Q&A sites such as the StackExchange network (e.g., StackOverflow), this is beginning to change. Such sites offer different sociotechnical incentives to their participants than mailing lists do, e.g., rich web environments to store and manage content collaboratively, or a place to showcase their knowledge and expertise more visibly to peers or potential recruiters. A key difference between StackExchange and mailing lists is gamification, i.e., StackExchange participants compete to obtain reputation points and badges. Using a case study of R, a popular data analysis software, in this paper we investigate how mailing list participation has evolved since the launch of StackExchange. Our main contribution is assembling a joint data set from the two sources, in which participants in both the r-help mailing list and StackExchange are identifiable. This allows for linking their activities across the two resources and also over time. With this data set we found that user support activities are showing a strong shift away from r-help. In particular, mailing list experts are migrating to StackExchange, where their behaviour is different. First, participants active both on r-help and on StackExchange are more active than those who focus exclusively on only one of the two. Second, they provide faster answers on StackExchange than on r-help, suggesting they are motivated by the gamified environment. To our knowledge, our study is the first to directly chart the changes in behaviour of specific contributors as they migrate into gamified environments, and has important implications for knowledge management in software engineering.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

How social Q&A sites are changing knowledge sharing in open source software communities

Vasilescu

Serebrenik

Dévanbu

et al. 2014

Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

180

103

View full text Add to dashboard Cite

show abstract

“…Data were entered using EpiData 3.1 software [ 22 ], descriptive analysis was performed using Stata 15.1 software [ 23 ] and prediction models were constructed using R-1.3.959 software [ 24 ]. Missing data were filled with multiple interpolation method.…”

Section: Methodsmentioning

confidence: 99%

The risk prediction of intergenerational transmission of overweight and obesity between mothers and infants during pregnancy

Wei,

Hu,

Wen

2024

BMC Pregnancy Childbirth

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Background Overweight and obesity in mothers before pregnancy lead to overweight and obesity in their offspring, which is the main form of intergenerational transmission of overweight and obesity in early life. Many factors, especially non-genetic factors, may influence intergenerational transmission, but little prediction research has been conducted. Therefore, we analyzed the status of intergenerational transmission in maternal and infant overweight and obesity. Second, we explored the factors during the pregnancy that might affect the the intergenerational transmission; According to the two application scenarios of pregnancy screen and self-management, risk prediction models for pregnant women were carried out. Methods Based on a prospective birth cohort, a total of 908 mothers and offspring were followed up during early life. Follow-up visits were performed at the first trimester, second trimester, third trimester, delivery, 42 days after delivery, and 6 months and 12 months of age. The investigation methods included questionnaire survey, physical examination, biological sample collection and clinical data collection. In terms of risk prediction, univariate analysis was used to screen candidate predictors. Second, multivariable Cox proportional hazard regression models were used to determine the final selected predictors. Third, the corresponding histogram models were drawn, and then the 10-fold cross-validation methods were used for internal verification. Results Regarding intergenerational transmission of overweight and obesity between mothers and infants during pregnancy, the risk prediction model for pregnancy screen was constructed. The model established: h(t|X) = h0(t)exp.(− 0.95 × (Bachelor Degree or above) + 0.75 × (Fasting blood glucose in the second trimester) + 0.89 × (Blood pressure in the third trimester) + 0.80 × (Cholesterol in third trimester) + 0.55 × (Abdominal circumference in third trimester))., with good discrimination (AUC = 0.82) and calibration (Hosmer–Lemeshow2 = 4.17). The risk prediction model for self-management was constructed. The model established: h(t|X) = h0(t)exp. (0.98 × (Sedentary >18METs) + 0.88 × (Sleep index≥8) + 0.81 × (Unhealthy eating patterns Q3/Q4) + 0.90 × (Unhealthy eating patterns Q4/Q4) + 0.85 × (Depression)), with good discrimination (AUC = 0.75) and calibration (Hosmer–Lemeshow2 = 3.81). Conclusions The risk predictions of intergenerational transmission of overweight and obesity between mothers and infants were performed for two populations and two application scenarios (pregnancy screening and home self-management). Further research needs to focus on infants and long-term risk prediction models.

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“…The statistical analysis was performed with the statistical package SPSS 19.0 (SPSS Inc., Chicago, IL, USA). Hierarchical clustering analyses (HCAs) of heavy metals and sampling stations were conducted using the Gplot package in R software [ 34 ].…”

Section: Methodsmentioning

confidence: 99%

Spatial Distribution, Potential Risks and Source Identification of Heavy Metals in the Coastal Sediments of the Northern Beibu Gulf, South China Sea

Yang

Wang

Liu

et al. 2022

IJERPH

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Thirty samples of surface sediments (0–5 cm) from the northern Beibu Gulf were analyzed to determine the spatial distribution, potential risks and sources of six heavy metals (Cr, Cu, Zn, As, Cd and Pb). The concentrations (mg/kg, dw) of Cr, Cu, Zn, As, Cd and Pb were 15.38 ± 6.06, 6.54 ± 3.23, 41.86 ± 17.03, 6.92 ± 2.75, 0.04 ± 0.02 and 17.13 ± 6.38, respectively. Higher levels of Cr, Cu, Cd and Zn were observed in the western part of the study area. According to the potential ecological risk indexes and sediment quality guidelines, the measured metals were assessed at low contamination levels, with Pb posing the largest ecological risks. The results of positive matrix factorization (PMF) indicated that Cr and Zn mainly originated from natural geological background sources, while Cu, As, Cd and Pb were influenced by anthropogenic sources such as atmospheric deposition and anthropogenic activities. These three sources contributed 60.4%, 28.1% and 11.5% of the heavy metals, respectively. In addition, further research should be conducted focusing on the general relationships between As and various controls in sediments of the northern Beibu Gulf.

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Analyzing Measurements of the R Statistical Open Source Software

Cited by 10 publications

References 20 publications

How social Q&A sites are changing knowledge sharing in open source software communities

How social Q&A sites are changing knowledge sharing in open source software communities

The risk prediction of intergenerational transmission of overweight and obesity between mothers and infants during pregnancy

Spatial Distribution, Potential Risks and Source Identification of Heavy Metals in the Coastal Sediments of the Northern Beibu Gulf, South China Sea

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