Creates dataset with merged hires parameters for two states.

This function merges the hires parameters for two biological states, provided the same position values. It also calculates the color distance and estimed k diffrence for each position. This function is part of comparative feature.

Usage

create_two_state_dataset(hires_params_1, hires_params_2)

Arguments

hires_params_1

data.frame with hires parameters for the first state

hires_params_2

data.frame with hires parameters for the second state

Value

data.frame for plotting functions

See also

calculate_color_distance calculate_hires

Examples

fit_k_params <- get_example_fit_k_params()
control <- get_example_control()
kin_dat <- prepare_kin_dat(alpha_dat)
fit_values <- create_fit_dataset(kin_dat, fit_k_params, control)
hires_params <- calculate_hires(fit_values)
#> Error in if (method == "shortest") {    hires_params_ <- lapply(seq(1:protein_length), function(pos) {        if (fractional) {            tmp_params <- fit_values %>% filter(start <= pos &                 pos <= end & n_1 + n_2 + n_3 < 1.25)        }        else {            tmp_params <- fit_values %>% filter(start <= pos &                 pos <= end & n_1 + n_2 + n_3 - max_uptake <=                 0)        }        tmp_params <- tmp_params %>% arrange(nchar(sequence),             class_name) %>% .[1, ]        if (nrow(tmp_params) == 0) {            data.frame(Protein = Protein, State = State, position = pos,                 n_1 = NA, k_1 = NA, n_2 = NA, k_2 = NA, n_3 = NA,                 k_3 = NA, k_est = NA, class_name = NA, color = NA)        }        else {            data.frame(Protein = Protein, State = State, position = pos,                 n_1 = tmp_params[["n_1"]], k_1 = tmp_params[["k_1"]],                 n_2 = tmp_params[["n_2"]], k_2 = tmp_params[["k_2"]],                 n_3 = tmp_params[["n_3"]], k_3 = tmp_params[["k_3"]],                 k_est = tmp_params[["k_est"]], class_name = tmp_params[["class_name"]],                 color = tmp_params[["color"]])        }    }) %>% bind_rows()}: the condition has length > 1
# same for the second state, and then:
# create_two_state_dataset(hires_params, hires_params_2)