Publications by Samira Akari
Elisabeta Chera
https://rpubs.com/alex_istrate/597660 1 Abstract Oxidative stress and inflammation are interlinked processes that seem to play an important role in aging. The present work aimed to test the antioxidant and anti-inflammatory activity of ethanolic Mahonia aquifolium leaves and bark extracts in an experimental acute inflammation. Six polyphenols a...
5556 sym 26 img 25 tbl
Covid-19 infection in Romania (Apr 3)
library(tidyverse) options(scipen = 999) options(digits = 3) library(knitr) library(stringr) # loading some files from my own library base_path = "~/Dropbox/Stats/" source(paste0(base_path, 'R library/mytheme.R'), echo=F) source(paste0(base_path, 'R library/assorted bits.R'), echo=F) # source(paste0(base_path, 'R library/custom_charts.R'), echo=...
6463 sym R (19406 sym/11 pcs) 8 img
Raluca T
ANOVA results Predictor df_num df_den Epsilon F p ges Method 1.98 196.02 0.99 11.66 .000 .01 Note. df_num indicates degrees of freedom numerator. df_den indicates degrees of freedom denominator. Epsilon indicates Greenhouse-Geisser multiplier for degrees of freedom, p-values and degrees of freedom in the table incorporate this correction. ges ind...
4125 sym R (48 sym/3 pcs) 180 img 26 tbl
Teodora M
Table 1. Both groups were demographically consistent (53.8% men / 46.2% women, p=0.847; averge age: 56.98 ±15.9, p=0.794). The average BMI was significantly higher among cases (30.57 ±5.99 vs. 28.10 ±5.31, p=0.037). In both groups, about one third were had BMI values <25 kg/m², but 55.2% and 33.4%, respectively, had BMI values >30 kg/m². Am...
1323 sym 3 tbl
Adrian Keller
https://rpubs.com/alex_istrate/588829 1 General part 2 Special part 2.1 Introduction 2.1.1 Objectives 2.2 Methods 2.2.1 Statisitcal analysis of the data To describe the quantitative variables, we used histograms and we calculated the arithmetic means ±standard deviation (SD) [with 95% confidence interval (CI)], as well as the extreme and m...
4685 sym 8 img 9 tbl
Covid-19 infection in Romania (Mar 21)
library(tidyverse) options(scipen = 999) options(digits = 3) library(knitr) library(stringr) # loading some files from my own library base_path = "~/Dropbox/Stats/" # source(paste0(base_path, 'R library/search_for_variable.R'), echo=F) # source(paste0(base_path, 'R library/mySSby.R'), echo=F) # source(paste0(base_path, 'R library/mySSby3.R'), ec...
4680 sym R (11838 sym/7 pcs) 4 img
Data Science Capstone - Week 2 - Milestone Report
The goal of this project is just to display that you’ve gotten used to working with the data and that you are on track to create your prediction algorithm. Please submit a report on R Pubs (http://rpubs.com/) that explains your exploratory analysis and your goals for the eventual app and algorithm. This document should be concise and explain on...
4182 sym R (6803 sym/20 pcs) 2 img
Ioana Cizmas
https://rpubs.com/alex_istrate/ 1 Partea generală 2 Partea specială 2.1 Introducere 2.1.1 Obiective 2.2 Material și metode 2.2.1 Analiza statistică a datelor Pentru variabilele calitative, am folosit pie-uri sau bar-chart-uri și am calculat frecvențele absolute și relative ale categoriilor formate. Pentru a descrie relațiile dintre ...
7403 sym R (217 sym/1 pcs) 28 img 5 tbl
Ana F
https://rpubs.com/alex_istrate/ 1 Partea generală 2 Partea specială 2.1 Introducere 2.1.1 Obiective 2.2 Material și metode 2.2.1 Analiza statistică a datelor Pentru variabilele calitative, am folosit pie-uri sau bar-chart-uri și am calculat frecvențele absolute și relative ale categoriilor formate. Pentru a descrie relațiile dintre ...
6805 sym 28 img 21 tbl
Stavroula Katsafadou 2
1 General part https://rpubs.com/alex_istrate/581223 2 Special part 2.1 Introduction 2.1.1 Objectives 2.2 Methods 2.2.1 Statistical analysis of the data To describe the quantitative variables, we used histograms and we calculated the arithmetic means ±standard deviation (SD) [with 95% confidence interval (CI)], as well as the extreme and me...
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