MC.summary | R Documentation |
A function that computes the summary statistics of a Monte Carlo simulation result.
MC.summary(p1, data)
p1 |
The independient variable. A |
data |
A |
This function is internally invoked by the MC.analysis
function to compute the summary
statistics of the Monte Carlo simulation under analysis.
A dataframe
with n observations of 15 variables, where n is the number of columns
of the "data" argument. The 15 variables are time series with the summary statistics of the
Monte Carlo data: 1) idx
: an index for the dataset
equal to 1; 2) Mean
: the mean; 3) Sd
: the standard deviation;
4) Variance
, the variance; 5) q05
: the five percent quantile;
6) q25
: the 25 percent quantile; 7) q50
: the 50 percent quantile;
8) q75
: the 75 percent quantile; 9) q95
: the 95 percent quantile;
10) q995
: the 99.5 percent quantile; 11) q999
: the 99.9 percent quantile;
12) Max
: the maximum; 13) Sum
: the sum; 14) time
: the time;
15) p1
: the independient variable.
J.A. Torres-Matallana
library(stUPscales)
library(EmiStatR)
data(P1)
colnames(P1)
new_data <- t(matrix(data = rep(runif(nrow(P1), 10, 100), 5), nrow = nrow(P1), ncol = 5))
new_summary <- MC.summary(p1 = P1, data = new_data)
str(new_summary)
head(new_summary)
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