View source: R/amanida_report.R
| amanida_report | R Documentation | 
amanida_report creates a report from the data using amanida functions
amanida_report(
  input_file,
  separator = NULL,
  analysis_type = NULL,
  column_id,
  pvalue_cutoff = NULL,
  fc_cutoff = NULL,
  votecount_lim,
  path = NULL,
  comp_inf = NULL
)
input_file | 
 path to the original dataset in xlsx, xls, csv or txt format  | 
separator | 
 indicate the separator used in the input_file parameter  | 
analysis_type | 
 indicate if data will be quantitative, qualitative or both. Options are: 
  | 
column_id | 
 vector containing columns names to use. It has to be in order identification, p-values, fold-changes, sample size and reference.  | 
pvalue_cutoff | 
 numeric value to consider statistical significance  | 
fc_cutoff | 
 numeric value to consider significance for effect size  | 
votecount_lim | 
 minimum numeric value for vote-counting visualization  | 
path | 
 path to the directory where html file is created, otherwise the file will be saved in a temporal folder  | 
comp_inf | 
 name checking using information from public databases  | 
This function uses directly the dataset to create a report with the meta-analysis results. In case of quantitative analysis amanida_report uses the functions amanida_read and compute_amanida for analyse the input data. Then the results are showed using volcano_plot, explore_plot and vote_plot.
an html document saved in the working directory
## Not run: 
column_id = c("Compound Name", "P-value", "Fold-change", "N total", "References")
input_file <- getsampleDB()
amanida_report(input_file, separator = ";", column_id, analysis_type = "quan", 
                pvalue_cutoff = 0.05, fc_cutoff = 4, votecount_lim = 2, 
                comp_inf = F)
## End(Not run)
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