Thanks a lot sir.
Regards
Sarah
--- On Thu, 5/12/11, Alexander Engelhardt wrote:
From: Alexander Engelhardt
Subject: Re: [R] Binomial
To: "Sarah Sanchez"
Cc: "David Winsemius" , r-help@r-project.org
Date: Thursday, May 12, 2011, 12:53 PM
Am 12.05.2011 13:19, schrieb Sar
Dear R helpers,
I am raising one query regarding this "Binomial" thread with the sole intention
of learning something more as I understand R forum is an ocean of knowledge.
I was going through all the responses, but wondered that original query was
about generating Binomial random numbers while
Dear R helpers
I have following dataset
rate_number = matrix(c(5, 15, 60, 15, 5, 0, 20, 60, 20,0, 10, 20, 40, 20, 10),
nrow = 5, ncol = 3)
range_mat = matrix(c(6.25, 6.75, 7.25, 8.75, 9.25, 9.75, 8.5, 9, 9.5, 10.5, 11,
11.5, 4.25, 4.75, 5.25, 5.75, 6.25, 6.75), nrow = 6, ncol = 3)
> rate_
Dear R Helpers
I have following data -
cash_flow = c(7, 7, 107) # 107 = Principle 100 + interest of 7%
t = c(1,2,3)
and zero rate table as
rating year1 year2 year3
AAA 3.60 4.17 4.73
AA 3.65 4.22
Dear R helpers
I am working on the Bi-variate Normal distribution probabilities. I need to
double integrate the following function (actually simplified form of bivariate
normal distribution)
f(x, y) = exp [ - 0.549451 * (x^2 + y^2 - 0.6 * x * y) ]
where 2.696 < x < 3.54 and -1.51 < y < 1.98
I
Dea'R' helpers
I have following data -
prob = c(0.1, 0.2, 0.3, 0.4, 0.5)
frequency = c(100, 75, 45, 30, 25)
no_trials = c(10, 8, 6, 4, 2)
freq1 = rbinom(frequency[1], no_trials[1], prob[1])
freq2 = rbinom(frequency[2], no_trials[2], prob[2])
freq3 = rbinom(frequency[3], no_trials[3], prob[3])
05
15160 53186
15110 53211
Please guide
Regards
Sarah
--- On Tue, 2/16/10, Madhavi Bhave wrote:
From: Madhavi Bhave
Subject: Re: [R] Total and heading of portfoilo table
To: r-help@r-project.org, "Sarah Sanchez"
Date: Tuesday, February 16, 2010, 7:05 AM
Hi!
Dear R helpers,
I have two input files as 'quantity.csv' and 'equity_price.csv' as (for
example) given below.
'quantity.csv'
GOOG YHOO
1000 100
'equity_price.csv'
sr_no GOOG_price YHOO_price
1 15.22 536.40
2 15.07 53
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