Package index
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qsip_data()
- qSIP master data class
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qsip_source_data()
- qSIP source data class
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qsip_sample_data()
- qSIP sample data class
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qsip_feature_data()
- qSIP feature table class
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show_comparison_groups()
- Show comparison groups
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run_feature_filter()
- Filter features in a qSIP data object
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run_resampling()
- Resample WAD values
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run_EAF_calculations()
- Calculate EAF values
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summarize_EAF_values()
- Summarize the observed and resampled EAF values
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run_comparison_groups()
- Run comparison groups
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get_N_total_it()
- Calculate total abundances at timepoint t
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run_growth_calculations()
- Run growth calculations
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summarize_growth_values()
- Summarize growth values
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infer_source_data()
- Generate a source data frame from a sample data frame
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add_isotopolog_label()
- Add isotopolog_label to source data
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remove_isotopolog_label()
- Remove isotopolog_label from "MISIPified" data
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get_all_by_isotope()
- Get source_mat_ids meeting certain isotope conditions
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get_dataframe
- Return the original dataframe from a qsip_feature_data object
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get_resample_counts()
- Get counts of successful resampling
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get_resample_data()
- Get dataframe of resampled data
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get_feature_ids()
- Return the feature_ids in a qsip object
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get_filtered_feature_summary()
- Return filtering info for a specific feature ID
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get_source_mat_ids()
- Return the source_mat_ids in a qsip object
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get_growth_data()
- Get dataframe of resampled growth data
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resample_seed()
- Seed used in resampling
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n_resamples()
- Number of resamples
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add_gradient_pos_rel_amt()
- Add gradient_pos_rel_amt to data
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add_taxonomy()
- Add a taxonomy table to qSIP abundance data
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correct_gradient_pos_density()
- Correct sample density values using gradient position information
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show_unshared_ids()
- Show missing source_mat_ids and sample_ids
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is_qsip_data()
- Check object is qsip_data type
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is_qsip_data_list()
- Validate a multi-qsip list object
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is_qsip_filtered()
- Validate a qsip object has been filtered
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is_qsip_resampled()
- Validate a qsip object has been resampled
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is_qsip_EAF()
- Validate a qsip object has EAF values
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is_qsip_growth()
- Validate a qsip object has been run through growth workflow
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plot_sample_curves()
- Plot qSIP sample data density curves
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plot_source_wads()
- Plot the source WADs by isotope
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plot_density_outliers()
- Cook's outlier detection on gradient positions vs densities
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plot_feature_curves()
- Plot qSIP feature data density curves
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plot_filter_results()
- Plot the results of filtering features
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plot_feature_occurrence()
- Plot occurrence of features in samples
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plot_successful_resamples()
- Plot the number of successful resamples for each feature_id
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plot_feature_resamplings()
- Plot the resampled EAFs for each feature
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plot_EAF_values()
- Plot EAF and confidence intervals
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plot_growth_values()
- Plot growth values
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jgi_source_df()
- Make a source dataframe from JGI proposal file
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jgi_sample_df()
- Make a sample dataframe from JGI proposal file
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jgi_feature_df()
- Make a feature dataframe from a JGI coverage file
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fit_regression_model()
- Fit regression model to spike-in control data
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get_normalized_features()
- Get normalized features from jgi_normalize_features
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example_source_df
- Example Source Dataframe
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example_sample_df
- Example Sample Dataframe
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example_feature_df
- Example Feature Abundance Dataframe
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example_source_object
- Example qSIP Source Object
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example_sample_object
- Example qSIP Sample Object
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example_feature_object
- Example qSIP Feature Object
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example_qsip_object
- Example qSIP Object
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example_group_dataframe
- Example data frame for run_comparison_groups()
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example_qsip_growth_object
- Example qSIP Growth Object
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example_qsip_growth_t0
- Example qSIP Time Zero Growth Dataframe