R software
R is a free, open-source software environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others.
Lab products found in correlation
3 634 protocols using r software
Grape Flavonoid Analysis via PCA
Predicting Axillary Lymph Node Metastasis Using Multimodal Ultrasound
HLA Allele Frequency Comparison
Randomized Controlled Trial of UCHA
Descriptive Statistical Analysis of COVID-19 Data
Mean: Test Student.
Skewed: Wilcoxon Mann Whitney.
Dichotomized variables were compared by using the χ2 statistics.
Correlations between CT workflow, French department, and the COVID-19 epidemic markers were tested by a Pearson’s correlation tests. The two-sample t test was used to search associations between means and standard deviations in the French departments.
Following medical and biological statistics standards, we set the type 1 error at 0.05.
Statistical analysis was performed using R software, version 3.6.2 (R Foundation for Statistical Computing) and SAS software (version 9.4, SAS institute).
Statistical Analysis of Tumor Gene Expression
Postoperative Pain and Opioid Consumption
Sensitivity analysis was performed by leave-one-out analyses using meta and dmetar packages in R software (version 3.6.3, R Foundation for Statistical Computing, Austria).
Publication bias was not assessed in this meta-analysis, because the number of included studies was less than 10.
We used Review Manager (RevMan, version 5.3, The Cochrane Collaboration) and R software (version 3.6.3, R Foundation for Statistical Computing, Austria) for all analyses.
Implant Survival Rate and Bone Loss Analysis
Analyzing Parasitic Prevalence in Iberian Lynx
Preoperative Microbiome Analysis and Factors
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