vec_chisq_test: Vectorized Chi-squared tests for differential gene detection
In AllenInstitute/scrattch.hicat: Hierarchical Iterative Clustering Analysis for Transcriptomic data
vec_chisq_test R Documentation
Vectorized Chi-squared tests for differential gene detection
Description
This function uses vectors of the number of samples in two sets that have detection of
a set of genes and the total number of cells in each set to compute Chi-quared tests with 1 DOF for
differential detection.
Usage
vec_chisq_test(x, x.total, y, y.total)
Arguments
x
an integer vector with the number of cells in group x with detection of each gene.
x.total
an integer value with the total number of cells in group x.
y
an integer vector with the number of cells in group y with detection of each gene.
y.total
an integer value with the total number of cells in group y.
Value
a data.frame with the following result for each gene:
stats: The value of the chi-squared test statistic
pval: The p-value as reported by pchisq
logFC: The log2(fold change) in detection frequency between samples (x / y)
diff: The difference in proportions between the samples (x - y)
AllenInstitute/scrattch.hicat documentation built on June 6, 2024, 5:31 a.m.
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| vec_chisq_test | R Documentation |
Vectorized Chi-squared tests for differential gene detection
Description
This function uses vectors of the number of samples in two sets that have detection of a set of genes and the total number of cells in each set to compute Chi-quared tests with 1 DOF for differential detection.
Usage
vec_chisq_test(x, x.total, y, y.total)
Arguments
x |
an integer vector with the number of cells in group x with detection of each gene. |
x.total |
an integer value with the total number of cells in group x. |
y |
an integer vector with the number of cells in group y with detection of each gene. |
y.total |
an integer value with the total number of cells in group y. |
Value
a data.frame with the following result for each gene:
stats: The value of the chi-squared test statistic
pval: The p-value as reported by pchisq
logFC: The log2(fold change) in detection frequency between samples (x / y)
diff: The difference in proportions between the samples (x - y)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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