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R statistical software version 4

Manufactured by Posit
Sourced in United States

R is a free, open-source software environment for statistical computing and graphics. Version 4.1 provides a wide range of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and more.

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Lab products found in correlation

2 protocols using r statistical software version 4

1

Normality Assessment and Statistical Analysis

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All variables were assessed by the Shapiro–Wilk test to evaluate the normality of the distributions, and admission variables are described using numbers and percentages for categorical variables, medians, and interquartile ranges (IQRs) for continuous variables. Differences were tested with Fisher's exact test for qualitative data and with the Mann–Whitney U test for quantitative data. All reported p values were 2-sided, and statistical significance was assumed if P < 0.05. Statistical analyses were performed using R statistical software version 4.1 (R Studio, Inc., http://www.r-project.org/).
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2

Statistical Analysis of Severe CDI

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We described the patient’s characteristics using numbers and percentages for categorical variables, medians, and interquartile ranges (IQRs) for continuous variables. The statistical significance between groups was tested with Fisher’s exact test for qualitative data and the Mann–Whitney U test for quantitative data. We used conditional logistic regression for univariate and multivariate analysis between groups of patients with severe and non-severe CDI. Dependent variables included in the multivariate analysis were selected based on the statistical significance provided by univariate analysis. We employed the Kaplan-Meier estimator to analyze PFS, and differences between groups were assessed using the log-rank test.
All reported P-values were two-tailed, and statistical significance was assumed if P < 0.05. Statistical analyses were performed using R statistical software version 4.1 (R Studio, Inc., Boston, MA, United States).
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