apply_manova: =========================================================================...

View source: R/apply_manova.r View source: R/.ipynb_checkpoints/apply_manova-checkpoint.r

apply_manovaR Documentation

========================================================================= apply_manova

apply_manova checks if the ratio of hl ratio and intensity ratio is statistically significant.

Description

apply_manova compares the variance between two fold-changes HL and intensity within the same TU (half-life frgA/half-life frgB/intensity frgA/intensity frgB). HL fragment could cover two intensity fragments therefore this function sets first fragments borders and uses manova_function. Manova checks the variance between 2 segments (independent variables) and two dependents variables (HL and intensity).

Usage

apply_manova(inp)

Arguments

inp

SummarizedExperiment: the input data frame with correct format.

Value

The probe data frame with the columns regarding statistics:

ID:

The bin/probe specific ID.

position:

The bin/probe specific position.

strand:

The bin/probe specific strand.

intensity:

The relative intensity at time point 0.

probe_TI:

An internal value to determine which fitting model is applied.

flag:

Information on which fitting model is applied.

position_segment:

The position based segment.

delay:

The delay value of the bin/probe.

half_life:

The half-life of the bin/probe.

TI_termination_factor:

String, the factor of TI fragment.

delay_fragment:

The delay fragment the bin belongs to.

velocity_fragment:

The velocity value of the respective delay fragment.

intercept:

The vintercept of fit through the respective delay fragment.

slope:

The slope of the fit through the respective delay fragment.

HL_fragment:

The half-life fragment the bin belongs to.

HL_mean_fragment:

The mean half-life value of the respective half-life fragment.

intensity_fragment:

The intensity fragment the bin belongs to.

intensity_mean_fragment:

The mean intensity value of the respective intensity fragment.

TU:

The overarching transcription unit.

TI_termination_fragment:

The TI fragment the bin belongs to.

TI_mean_termination_factor:

The mean termination factor of the respective TI fragment.

seg_ID:

The combined ID of the fragment.

pausing_site:

presence of pausing site indicated by +/-.

iTSS_I:

presence of iTSS_I indicated by +/-.

ps_ts_fragment:

The fragments involved in pausing site or iTSS_I.

event_duration:

Integer, the duration between two delay fragments.

event_ps_itss_p_value_Ttest:

p_value of pausing site or iTSS_I.

p_value_slope:

Integer, the p_value added to the inp.

delay_frg_slope:

Integer, the slope value of the fit through the respective delay fragment.

velocity_ratio:

Integer, the ratio value of velocity from 2 delay fragments.

event_position:

Integer, position of the event added to the input.

FC_HL:

Integer, the fold change value of 2 HL fragments.

FC_fragment_HL:

String, the fragments corresponding to HL fold change.

p_value_HL:

Integer, the p_value added to the input of 2 HL fragments.

FC_intensity:

Integer, the fold change value of 2 intensity fragments.

FC_fragment_intensity:

String, the fragments corresponding to intensity fold change.

p_value_intensity:

Integer, the p_value added to the input of 2 intensity fragments.

synthesis_ratio:

Integer, the value correspomding to synthesis rate.

synthesis_ratio_event:

String, the event assigned by synthesis rate either Termination or iTSS.

FC_HL_intensity:

Integer, the value corresponding to HL and intensity fold change.

FC_HL_intensity_fragment:

String, the fragments corresponding to intensity and HL fold change.

FC_HL_adapted:

Integer, the fold change of half-life/ fold change of intensity,position of the half-life fragment is adapted to intensity fragment.

p_value_Manova:

Integer, the p_value added to the input.

Examples

data(stats_minimal)
apply_manova(inp = stats_minimal)


CyanolabFreiburg/rifi documentation built on May 7, 2023, 7:53 p.m.