table.statMap | R Documentation |
Create cluster/maxima summary table
table.statMap(
x,
method = c("CEI", "maxima", "CMI"),
cft_s = NULL,
cft_p = NULL,
cft_chisq = NULL
)
x |
statMap object |
method |
What statistic to provide summary for? must have run that analysis using the pbjInference and mmeStat functions. |
cft_s |
cluster forming threshold on effect size scale to show cluster p-values for. |
cft_p |
cluster forming threshold on p-value scale to show cluster p-values for. |
cft_chisq |
cluster forming threshold on chi-square statistic scale to show cluster p-values for. |
If both cft_s and cft_p are NULL, then it returns the first CFT that was used.
Returns table of unadjusted and FWER adjusted p-values and other summary statistics. Results depend on what statistic function was used for pbjInference.
[mmeStat], [cluster], [maxima], [pbjInference]
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.