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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_insce.wasp
Title produced by softwareInsurance Experiment
Date of computationTue, 23 Sep 2008 03:35:46 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Sep/23/t1222162601vlkqlduccgzxz49.htm/, Retrieved Tue, 10 Feb 2026 03:16:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14743, Retrieved Tue, 10 Feb 2026 03:16:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact444

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Frequentietabel l...] [2008-09-22 09:37:49] [74be16979710d4c4e7c6647856088456]
- RM    [Insurance Experiment] [parent child test...] [2008-09-22 15:58:33] [74be16979710d4c4e7c6647856088456]
-         [Insurance Experiment] [parent child test...] [2008-09-22 17:10:05] [74be16979710d4c4e7c6647856088456]
-           [Insurance Experiment] [parent child test...] [2008-09-22 17:15:30] [74be16979710d4c4e7c6647856088456]
- R P           [Insurance Experiment] [parent child test...] [2008-09-23 09:35:46] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14743&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14743&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14743&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Summary Statistics
Number of policies100
Number of simulations325
Mean of gross profit per policy in USD295.32
Risk of loss in percent12
SD of gross profit per policy243.67

\begin{tabular}{lllllllll}
\hline
Summary Statistics \tabularnewline
Number of policies & 100 \tabularnewline
Number of simulations & 325 \tabularnewline
Mean of gross profit per policy in USD & 295.32 \tabularnewline
Risk of loss in percent & 12 \tabularnewline
SD of gross profit per policy & 243.67 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14743&T=1

[TABLE]
[ROW][C]Summary Statistics[/C][/ROW]
[ROW][C]Number of policies[/C][C]100[/C][/ROW]
[ROW][C]Number of simulations[/C][C]325[/C][/ROW]
[ROW][C]Mean of gross profit per policy in USD[/C][C]295.32[/C][/ROW]
[ROW][C]Risk of loss in percent[/C][C]12[/C][/ROW]
[ROW][C]SD of gross profit per policy[/C][C]243.67[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14743&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14743&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary Statistics
Number of policies100
Number of simulations325
Mean of gross profit per policy in USD295.32
Risk of loss in percent12
SD of gross profit per policy243.67


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 325 ; par2 = 100 ; par3 = 1480 ; par4 = 6000 ; par5 = 0.2 ; par6 = FALSE ;
Parameters (R input):
par1 = 325 ; par2 = 100 ; par3 = 1480 ; par4 = 6000 ; par5 = 0.2 ; par6 = FALSE ;
R code (references can be found in the software module):
reps <- as.numeric(par1)
policies <- as.numeric(par2)
prem <- as.numeric(par3)
cost <- as.numeric(par4)
prob <- as.numeric(par5)
if (par6 == 'TRUE') Poisson <- TRUE
if (par6 == 'FALSE') Poisson <- FALSE
gross.profit <- 1:policies
gross.profit.rate <- 1:reps
if (Poisson==T) {
for (j in 1:reps) {
totalcost=cost*rpois(policies,prob)
gross.profit=prem-totalcost
gross.profit.rate[j]=sum(gross.profit)/policies
}
}
if (Poisson==F){
for (j in 1:reps) {
totalcost=cost*rbinom(policies,1,prob)
gross.profit = prem-totalcost
gross.profit.rate[j] = sum(gross.profit)/policies
}
}
risk <- 100 * (length (gross.profit.rate[gross.profit.rate < 0]))/reps
print(risk)
avgprofit <- format(mean(gross.profit.rate), digits = 5)
sdprofit <- format(sd(gross.profit.rate), digits = 5)
bitmap(file='test1.png')
stripchart(gross.profit.rate, method = 'stack', main = main, xlab = xlab, ylab = ylab, col = 'blue', xlim = c( -800, 1300), at=0.1)
stripchart(gross.profit.rate[gross.profit.rate<0], method = 'stack', col = 'red', add = TRUE, at=0.1)
text(700, 1.55, 'number of policies = ',adj=1)
text(900, 1.55, policies)
text(700, 1.4, 'number of simulations = ',adj=1)
text(900, 1.4, reps)
text(700, 2.0, 'mean of gross profit/policy = ',adj=1)
text(800, 2.0, '$')
text(900, 2.0, avgprofit)
text(700, 1.7, 'risk of loss = ',adj=1)
text(875, 1.7, round(risk,))
text(975, 1.7, '%')
text(700, 1.85, 'SD of gross profit/policy = ',adj=1)
text(800, 1.85, '$')
text(900, 1.85, sdprofit)
dev.off()
x<-rnorm(100)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary Statistics',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of policies',header=TRUE)
a<-table.element(a,policies)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of simulations',header=TRUE)
a<-table.element(a,reps)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Mean of gross profit per policy in USD',header=TRUE)
a<-table.element(a,avgprofit)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Risk of loss in percent',header=TRUE)
a<-table.element(a, round(risk,0) )
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'SD of gross profit per policy',header=TRUE)
a<-table.element(a,sdprofit)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')