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Statistics

Statistics

In Statistics, "outlier analysis", "descriptive statistics" (including box-plots), and "advanced statistics" (ANOVA, PCA) can be performed.

Descriptive statistics is available for all WebIDQ subscription plans.

Advanced statistics and outlier analysis is exclusively available for WebIDQ core+.

Unknowns are exclusively used for statistics.

Recommendation: Apply log transformation to results.
Metabolism indicators: Indicated by symbol MI indicator.
Metabolism indicator in table

Select results for statistics​

  1. Load data as described in Load results.
  2. Select metadata for statistics, click Select groups.
    - To select multiple attributes together, click Select metadata.
    - To select attributes one by one, click Add group.
    - To rename a group, click in the group's name, e.g. "Mouse".
    Example: group 1 "Human" and group 2 "Mouse".
    Select group
  3. Select the type of statistic that sould be performed, Descriptive statistics, ANOVA, PCA.
    Select type of statistic

Outlier analysis​

Outlier analysis

To remove sample outliers from the loaded data, an outlier analysis can be performed before statistical calculations (Descriptive statistics, ANOVA, or PCA).

  1. Select Outlier analysis.

  2. Click Calculate

    Calculate.

  3. Sample outliers are shown.

    Sample outliers

  4. To remove sample outliers from statistical calculations, exclude selected sample or exclude all sample outliers.

    Exclude selected samplesExclude all samples
    Exclude selected samplesExclude all samples

Descriptive statistics​

Descriptive statistics

  1. Select Descriptive statistics.
  2. To define options for statistics calculations, click Stat. options.
  3. Click Calculate
    Calculate.
  4. Statistical results are shown for all unknowns, selected groups, and plots.
    Descriptive statistics, results

ANOVA​

ANOVA

Calculations may take a minute.

  1. Select ANOVA.
  2. To define options for statistics calculations, click Stat. options.
  3. Click Calculate
    Calculate.
  4. Statistical results (p-values) are shown in a table and plots.
    ANOVA, results

Available options

Significance threshold, e.g. 0.05

p-value adjustment, e.g. Benjamini-Hochberg (1995)
Plot type, e.g. combined
Calculate sample mean from replicates, using the mean concentration of the replicates as the sample mean.

To apply changes, click Calculate.

ANOVA options

PCA​

PCA

  1. Select PCA.
  2. To define options for statistics calculations, click Stat. options.
  3. Click Calculate
    Calculate.
  4. Statistical results are shown.

PCA example

ⓘ In this example a "score plot" is shown.

Available options

Number of principle components (PCs) shown in "multi plot", e.g. 4

Confidence ellipses shown in "score plot" , e.g. 95%
Show loading plots shows "loading plots" instead of "score plot".
Calculate sample mean from replicates, using the mean concentration of the replicates as the sample mean.

To apply changes, click Calculate.

PCA options

Export and information​

Export​

This feature is coming soon.

Export coming soon

Information​

Click Info to show details of the performed statistic.

Example for PCA.

Info