tanorm: Total Area Normalization of glycan data
In glycanr: Tools for Analysing N-Glycan Data

Description Usage Arguments Details Value Author(s) Examples

Returns glycans normalized with Total Area Normalization approach.

1	tanorm(d, grouping = FALSE)

`d`	data frame in long format containing glycan measurements
`grouping`	should data be normalized per groups

Input data frame should have at least the following three columns:
- gid - representing a unique name of a sample
- glycan - representing glycan names
- value - representing measured values
and if the grouping argument is TRUE it should also have column:
- groups - representing groupings (e.g. IgG1, IgG2 and IgG4)

Returns a data.frame with original glycan values substituted by normalized ones

Ivo Ugrina

1
2
3

data(mpiu)
mpiun <- tanorm(mpiu)
head(mpiun)

From version 0.3 functions tanorm and glyco.outliers expect data frames
in long format.
Warning message:
Version 0.3 of glycanr introduces a change in tanorm function. It expects data frame input in long format now. 
# A tibble: 6 x 4
  Plate gid   glycan   value
  <int> <chr> <fct>    <dbl>
1     1 1_1   GP1     0.0795
2     1 1_1   GP10    3.73  
3     1 1_1   GP11    0.608 
4     1 1_1   GP12    0.476 
5     1 1_1   GP13    0.197 
6     1 1_1   GP14   13.1