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Origin 2018c

Manufactured by OriginLab
Sourced in United States

Origin 2018c is a data analysis and graphing software. It provides tools for data manipulation, visualization, and reporting. The software supports a wide range of file formats and offers various plotting and analysis options.

Automatically generated - may contain errors

5 protocols using origin 2018c

1

Orthogonal Partial Least Squares Discriminant Analysis of Metabolic Profiles

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Results were expressed as the mean ± SD (n = 3) for each analysis. Statistical analysis was performed via one-way analysis of variance (ANOVA) using IBM SPSS 26.0 (SPSS Inc., Chicago, IL, USA). Differences between the groups were evaluated via the Duncan test for multiple comparisons. Origin 2018c (OriginLab, Northampton, MA, USA) was used for graphic drawing. p < 0.05 was considered to indicate a statistically significant difference. SIMCA 14.1 (Sartorius AG, Göttingen, Germany) software was used for orthogonal partial least squares discriminant analysis (OPLS-DA).
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2

Comparative Analysis of Experimental Conditions

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Data are expressed as mean plus/minus standard error (n = 4 replicates) and were analyzed by one‐way analysis of variance using SPSS Statistics 19.0 software (IBM Corp., Armonk, NY, USA). Means were compared using Duncanʼs test, and differences were considered significant at P < 0.05. The figures were generated using Origin 2018c (OriginLab Corp., Northampton, MA, USA).
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3

Statistical Analysis of Experimental Data

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All data were analyzed in Excel for mean and variance analysis. The experimental values were expressed by MEAN ± SD. One-way analysis of variance (ANOVA) was performed using SPSS Statistics 22 software (IBM, New York, NY, USA), and Origin 2018C (OriginLab Corporation, Northampton, MA, USA) was used for data mapping. Response surface analyses were carried out using Design-Expert® software 8.0.6 (Stat-Ease inc., Minneapolis, MN, USA).
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4

Orthogonal Partial Least Squares Discriminant Analysis of Metabolic Profiles

Check if the same lab product or an alternative is used in the 5 most similar protocols
Results were expressed as the mean ± SD (n = 3) for each analysis. Statistical analysis was performed via one-way analysis of variance (ANOVA) using IBM SPSS 26.0 (SPSS Inc., Chicago, IL, USA). Differences between the groups were evaluated via the Duncan test for multiple comparisons. Origin 2018c (OriginLab, Northampton, MA, USA) was used for graphic drawing. p < 0.05 was considered to indicate a statistically significant difference. SIMCA 14.1 (Sartorius AG, Göttingen, Germany) software was used for orthogonal partial least squares discriminant analysis (OPLS-DA).
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5

Gully Interpretation Accuracy Analysis

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Influence of different factors on gully interpreting accuracy was analyzed by Spearman correlation analysis using R 3.5.0 (R Development Core Team, Vienna, Austria). Linear regression was used to establish the correction models between measured and interpreted gully area and gully perimeter using SPSS 23.0 (International Business Machines Corporation, Armonk, NY, USA). The figures were plotted with Origin 2018C (OriginLab Corporation, Northampton, MA, USA) and “ggplot2” package [60 ] written for R 3.1.0.
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