Statistical analysis was conducted with SigmaPlot for Windows software (Version 14.0). Shapiro–Wilks and Brown–Forsythe tests were respectively used to analyze if results were normally distributed and for homogeneity of variances. Since most of the data did not meet the prerequisites for parametric testing, the non-parametric Mann–Whitney rank sum test was applied. An asterisk (*) indicates statistical significance at p < 0.05, and error bars depict the standard deviation. IC50 values were calculated by linear regression from measured values with SigmaPlot for Windows software.
Sigmaplot for windows
Manufactured by Merck Group
Sourced in United States
SigmaPlot for Windows is a data analysis and graphing software that enables users to create publication-quality graphs and analyze data. It provides a range of statistical and curve-fitting tools to help researchers and scientists visualize and interpret their data.
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Lab products found in correlation
18 protocols using sigmaplot for windows
1
Non-parametric Analysis of IC50
2
Physiological Responses to Sedation
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Power test was performed using statistics software (SigmaPlot for Windows) for a sample size calculation. The normality of data distribution was checked using Shapiro–Wilk Test. Statistical analyses were performed using GraphPad Prism 8 (GraphPad Software Inc., CA, USA) for Windows. The data related to HR, fR, arterial pressure, FE´CO2, SpO2, plasma concentration, and MNT are presented as means ± standard deviations and subjected to analysis of variance for repeated measures, followed by Tukey’s test, for comparison among the time points within each group and among groups at each time point. To evaluate sedation, and analgesia using the Glasgow Scale the Kruskal–Wallis test was used, followed by the Dunn’s test for comparison among time points within the same group and among groups at each time point. A significance level of 5% (P ≤ 0.05) was set as the threshold.
3
Robust Statistical Analysis Techniques
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All data were expressed as Mean ± SEM. SigmaPlot for Windows (version 13.0) was used for statistical analysis. Student’s t-test, one-way, and two-way Analysis of Variance (ANOVA) followed by Bonferroni t-test were used. A p-value of < 0.05 was considered statistically significant (* p < 0.05; ** p < 0.01; *** p < 0.001).
4
Multivariate Analysis of Microbial Diversity
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The hierarchical diversity figure was generated with SigmaPlot for Windows (v12.5, Build 12.5.0.38). The rarefaction plot was generated in ampvis2 (Andersen et al., 2018 (link)) using function amp_rarecurve. All other plots were made with ggplot2 (Wickham, 2016 ) in Rstudio (R Core Team, 2013 ; RStudio Team, 2019 ).
5
Correlations between HRV, 6MWT, and CPET
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The patients’ baseline characteristics and functional variables at rest and at peak exercise are reported as means ± standard deviation. According to variable distribution (Shapiro–Wilk test), Pearson's or Spearman's moment correlation coefficients were used to test the association between HRV indices (dependent variables) and 6MWT and CPET variables (independent variables). The magnitude of correlations was determined considering the following classification scheme for r-values: (0.26–0.49: low or weak; 0.50–0.69: moderate; 0.70–0.89: strong or high; 0.90–1.0: very high).30 Considering a moderate association of 0.6, the calculated effect size for the current sample was 0.7.31 Post hoc analysis revealed a power of 0.93 for the current sample at an α level of 0.05 (GPower software, version 3.1.3, Germany). All statistical analysis was conducted at a 95% level of significance. Statistical analysis was performed using the Sigma Plot for Windows, version 11.0 (Sigma Plot, San Jose, CA, USA).
6
Salvage Therapy Efficacy for Chronic Pain
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Data were summarized using descriptive statistics for continuous variables. We used Student’s t-tests and the Mann–Whitney rank sum test to determine whether the Visual Analog Scale (VAS) pain scores attained following replacement with the 10 kHz SCS system were significantly different than prior to salvage therapy. A similar analysis was carried out to determine changes in daily opioid use before and after salvage therapy. We calculated percentage of the patients who maintained >50% pain relief following this change. All analyses were completed using the program Sigma Plot for Windows (version 14.0, Carry, New York, USA)
7
Modeling Photosynthetic CO2 Fluxes
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Linear and non-linear regression, the hyperbolic light response model (i.e., the Michaelis–Menten model), and all statistical analyses were conducted using SigmaPlot® for Windows version 14.0 build 14.0.0.124. The physiologically based process model was generated using the PV WAVE® analysis software (32-bit version) with code written on a matching IDL® console that shares a common programming syntax. Standard and polynomial quadratic curve functions were used for all regression analyses. For ease of visualization, the negative exponential smoother with a sampling proportion of 0.1 and a polynomial degree of 1 was used to smooth daily CO2 flux (NEE, GPP, and Re).
8
Protein Synthesis Regulation Analysis
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Blood, cell signaling and mRNA data were analyzed by two-way ANOVA (two factor: time × treatment) with repeated measures and myofibrillar protein synthesis was analyzed by one-way ANOVA with repeated measures. All data underwent Student-Newman-Keuls post hoc analysis when P<0.05 (SigmaPlot for Windows; Version 12.5). All data are expressed as mean ± SD and the level of statistical significance was set at P<0.05.
9
Statistical Analysis of Dependent Variables
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Statistical analysis was performed using IBM SPSS Statistics (Version 19.0). Simple unpaired t-tests were performed on dependent variables between groups (CS vs R). Pearson correlation was used to evaluate relationships between outcomes measures. Regression analysis was performed using Sigma Plot for Windows (Version 11.0). Statistical significance was set at p < .05.
10
Statistical Analysis of Polyphenol Levels
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Statistical analyses were performed with SigmaPlot for Windows (Version 15, 15.0.0.13). The differences in the mean values of quantitative results of each polyphenol group between individual trees, years and sampling times were analyzed using a three-way analysis of variance (Three-way ANOVA). Pairwise multiple comparison procedures were performed with the Holm–Sidak method when significant differences were detected. The significance level was set to p = 0.05. The results of the statistical analyses are listed in Tables S14–S22 .
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