Description Usage Arguments Details Value See Also Examples
View source: R/quality_control.R
Checks how the uncertainty changes in a function of 'out_time'.
1 | quality_control(dat, state_first, state_second, chosen_time, in_time)
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dat |
data read by |
state_first |
state of the first peptide |
state_second |
state of the second peptide |
chosen_time |
chosen time point |
in_time |
'in' time |
The function calculates mean uncertainty of all peptides and its uncertainty (standard error) based on given 'in_time' and 'chosen_time' as a function of 'out_time'. Both theoretical and experimental results for each state and their difference are supplied for comparison but only experimental calculations depends on 'out_time' variable. The results are either in form of relative or absolute values depending on the 'relative' parameter supplied by the user. This data can be useful for general overview of the experiment and analyse of the chosen time parameters.
data.frame
with mean uncertainty per different 'out_time' value
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | # load example data
dat <- read_hdx(system.file(package = "HaDeX", "HaDeX/data/KD_180110_CD160_HVEM.csv"))
# calculate mean uncertainty
(result <- quality_control(dat = dat,
state_first = "CD160",
state_second = "CD160_HVEM",
chosen_time = 1,
in_time = 0.001))
# load extra libraries
library(ggplot2)
library(tidyr)
library(dplyr)
# example of data visualization
gather(result, 2:7, key = 'type', value = 'value') %>%
filter(startsWith(type, "avg")) %>%
ggplot(aes(x = factor(out_time), y = value, group = type)) +
geom_line(aes(color = type)) +
labs(x = "Out time",
y = "Mean uncertainty")
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