Change in order of names after applying "plyr" package

equity_data = data.frame(security_id = c("Air", "Air", "Air", "Air"

# create a factor with the specified ordering
equity_data$security_id <- factor(equity_data$security_id

result_method_other

Dear R helpers

I have following two data.frames viz. equity_data and param.

equity_data = data.frame(security_id = c("Air", "Air", "Air", "Air", "Air", "Air", "Air", "Air", "Air", "Air", "Air", "Air", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AB", "AD",  "AD", "AD", "AD", "AD", "AD", "AD", "AD", "AD", "AD", "AD", "AD"), ason_date = c("10-Jan-12","9-Jan-12","8-Jan-12", "7-Jan-12", "6-Jan-12","5-Jan-12","4-Jan-12","3-Jan-12","2-Jan-12","1-Jan-12", "31-Dec-11", "30-Dec-11", "10-Jan-12","9-Jan-12","8-Jan-12", "7-Jan-12", "6-Jan-12","5-Jan-12","4-Jan-12","3-Jan-12","2-Jan-12","1-Jan-12", "31-Dec-11", "30-Dec-11", "10-Jan-12","9-Jan-12","8-Jan-12", "7-Jan-12", "6-Jan-12","5-Jan-12","4-Jan-12","3-Jan-12","2-Jan-12","1-Jan-12", "31-Dec-11",
 "30-Dec-11"), security_rate = c(0.597,0.61,0.6,0.63,0.67,0.7,0.74,0.735, 7.61,0.795,0.796, 0.84, 8.5,8.1,8.9,8.9,8.9,9,9,9,9,9,9,9,3.21,3.22,3.12, 3.51, 3.5, 3.37, 3.25, 3, 3.07, 3, 2.94, 2.6))

param = data.frame(confidence_level = c(0.99), holding_period = c(10),  calculation_method = "MC", no_simulation_mc = c(100))


library(plyr)
library(reshape2)

attach(equity_data)
attach(param)

security_names = unique(equity_data$security_id)
# (security_names are used further in R code not included here)

alpha = param$confidence_level
t = param$holding_period
n = param$no_simulation_mc
method = param$calculation_method


  mc_VaR = function(security_id, ason_date, security_rate)
    {
        security_rate_returns <- NULL
        for (i
 in(1:length(ason_date)-1))
        {
          security_rate_returns[i] = log(security_rate[i]/security_rate[i+1])
        }

        return_mean = mean(security_rate_returns)
        return_sd = sd(security_rate_returns)
        simulation = rnorm(n, return_mean, return_sd)
        qq = sort(simulation, decreasing = TRUE)
        VaR_mc = -qq[alpha * n]*sqrt(t)
        return(VaR_mc)
    }


result_method_other <- dlply(.data = equity_data, .variables = "security_id", .fun = function(x)

                      mc_VaR(ason_date = x$ason_date, security_id = x$security_id,
                      security_rate = x$security_rate))

result_method_other

$AB
[1] 0.2657424

$AD
[1] 0.212061

$Air
[1] 6.789733

attr(,"split_type")
[1] "data.frame"
attr(,"split_labels")
  security_id
1          AB
2          AD
3         Air


MY PROBLEM :

My original data (i.e. equity_data) has the order of "Air", "AB" and "AD". However, after applying plyr, my order (and corresponding result) has changed to "AB", "AD" "Air".


I need to
 maintain my original order of "Air", "AB" and "AD". How do I modify my R code for this?

Kindly guide


Vincy


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