append_data_frame {synapsis} | R Documentation

## append_data_frame

### Description

applies new row to data frame

### Usage

    append_data_frame(
      WT_str,
      KO_str,
      WT_out,
      KO_out,
      img_file,
      foci_areas,
      df_cells,
      cell_count,
      stage,
      foci_per_cell,
      image_mat,
      percent_px,
      alone_foci,
      discrepant_category,
      C1
    )

### Arguments

`WT_str` | string in filename corresponding to wildtype genotype. Defaults to ++.
`KO_str` | string in filename corresponding to knockout genotype. Defaults to –.
`WT_out` | string in output csv in genotype column, for knockout. Defaults to +/+.
`KO_out` | string in output csv in genotype column, for knockout. Defaults to -/-.
`img_file` | cell's file name
`foci_areas` | pixel area of each foci
`df_cells` | current data frame
`cell_count` | unique cell counter
`stage,` | meiosis stage of interest. Currently count_foci determines this with thresholding/ object properties in the synaptonemal complex channel by previosly calling the get_pachytene function. Note that if using this option, the count_foci function requires that the input directory contains a folder called “pachytene” with the crops in it.
`foci_per_cell` | foci count for cell
`image_mat` | matrix with all pixel values above zero
`percent_px` | percentage of foci mask that coincides with strand channel small number indicates potentially problematic image.
`alone_foci` | estimated number of foci that are NOT on a strand.
`discrepant_category` | estimated number of foci that are NOT on a strand.
`C1` | criteria

### Value

data frame with new row

[Package synapsis version 1.0.0 Index]