Kaplan-Meier curve analysis is used for prognostic analysis. A Chi-square test is used to compare the clinical characteristics of mutation or non-mutation mode. The Wilcoxon test was performed to compare the differences between the two sets of data. The receiver operating characteristic (ROC) curve was tested to predict the efficiency of the overall survival rate of GC patients. Pearson’s correlation analysis was used to compare the correlation of mRNA expression levels among 18 focal adhesion-related genes. Prism 8, SPSS19.0, and R software (version 3.6) were applied for statistical analysis and graphing. P < 0.05 was considered statistically significant.
R software version 3.6
Manufactured by R Project for Statistical Computing
R is an 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. R is an interpreted language, and it can be extended through user-contributed packages.
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Lab products found in correlation
5 protocols using r software version 3.6
1
Survival Analysis of Gastric Cancer
2
Aberrantly Methylated Gene Analysis
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All aberrantly methylated DEGs were analyzed with R software (version 3.6) (www.r-project.org/ ). For DEGS, we used a |log(fold change [FC])| value >1 and an adjusted P value <0.05 as cutoff criteria following normalization and background correction with the affyPLM package in R. Data relating to aberrantly methylated genes were first normalized using the beta-mixture quantile dilation (BMIQ) method in the R wateRmelon package. We then used a β value >0.2 and an adjusted P value <0.05 as cutoff standards.
3
Prevalence and Risk Factors of MRI-Defined Brain Infarcts
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The characteristics of study participants were presented as mean [standard deviation (SD)] for continuous variables, and percentages for categorical variables. The statistical significance of differences was performed using analysis of variance (ANOVA) for continuous variables and the Chi-square test for categorical variables. The prevalence and 95% confidence intervals (CI) standardized by age and sex were calculated among different sub-groups of characteristics, using the 2010 National Population Census as the standard population. The age-standardized prevalence was calculated by sex and the sex-standardized prevalence was also calculated by age group. Choropleth maps were produced using R software (version 3.6) to visually examine geographical variations in the prevalence of MRI-defined BI. The data illustrated in the maps were age-and sex-standardized prevalence with 95% CIs. Multivariable logistic regression analyses were conducted to investigate risk factors for MRI-defined BI adjusted for age, sex, geographical region, BMI, hypertension, diabetes, and dyslipidemia in the models.
All statistical analyses were performed using R version 3.6 (http://www.r-project.org/ ) and SAS version 9.4 (SAS Institute, Cary, NC). Statistical significance was defined as two-sided P-values < 0.05.
All statistical analyses were performed using R version 3.6 (
4
Soybean Genotype Evaluation for Yield and Quality Traits
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The experimental material comprised of 34 genotypes including two checks of soybean viz; JS . The experiment was laid out in a randomized complete block design with three replications at the Seed Breeding Farm, JNKVV, Jabalpur (M.P.) during the Kharif, 2018. Size of each plot was kept 3.0 m x 1.6 m ( 3 rows of 3 m length) and 40 cm row to row distance. Five quantitative characters were recorded on the basis of three random competitive plants selected from each line in each replication. Analysis of variance on different characters was carried out as per the standard procedure of Fisher, 1963. Genotypic and phenotypic coefficients of variation were estimated according to Burton and Devane, 1953. Heritability in broad sense and genetic advance were worked out as per Hanson et al., (1956) and Johnson et al., (1955) , respectively. Phenotypic and genotypic correlationand path coefficients of variation were computed based onthe method given by Dewey and Lu (1959) and principal component analysis using R software version 3.6.0 (R Project for Statistical Computing, http://www.r-project.org/).
5
Behavioral Assessment of Dogs for Scent Work
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The dogs' behavioral traits were assessed after 2 weeks of training in the Canine Training Center. We obtained scores of seven behavioral traits regarding suitability for scent work as follows: activity, boldness, concentration, friendliness to humans, independence, and interest in the target (dummy) (Table 1). Using a 5-point scale (i.e. 1 to 5) with a score of 5 indicating 'very high,' dog experts working at the training facility rated the extent to which a behavioral trait was applicable to each dog. The detailed procedure of behavioral assessment has been described in previous studies [5, (link)14] (link) .
Behavioral differences based on sex, quali cation status, and breed were evaluated using the Wilcoxon rank-sum test implemented in R software (version 3.6) [17] . Multiple comparisons (seven traits based on sex, quali cation, and breeds) were conducted, and the Bonferroni correction was applied. The signi cance level of the corrected P value was 0.0014 (0.05/35).
Behavioral differences based on sex, quali cation status, and breed were evaluated using the Wilcoxon rank-sum test implemented in R software (version 3.6) [17] . Multiple comparisons (seven traits based on sex, quali cation, and breeds) were conducted, and the Bonferroni correction was applied. The signi cance level of the corrected P value was 0.0014 (0.05/35).
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