I need help with these R simulations

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The generation of pseudo-random numbers with uniform distribution [0.1] 
can be done through a method called Congruencial Committee, which consists
the use of a recursive relationship of the type: 
xi +1 = (a.xi + c) mod m 
being a, c, and the positive integers m, c <m. 
Discuss in light of possible values of a, c, my values seed x0 
the behavior of the generator in order to obtain sequences 
evenly distributed with cycles of large dimensions. 
Tip: Write a program in R to implement the generator and 
thus obtain different sequences depending on the values of a, c, d.

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Write a program to deploy the generator 
xi +1 = (25173 xi + 13,849) 65536 mod 
and considering initial value x0 = 10000
obtain the 
first 10 values generated

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Develop a program for simulation to estimate the probability of exit 
1,2,3,4,5,6 each of the sides in the launch of a non-addict. 
Then obtain and comment on the likelihood obtained considering the 
simulation of 100, 1,000, 10,000 and 100,000 entries. Represents graphically 
results.

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Get an algorithm and implement  in order to generate variables 
Random exponential function whose density is f (x) = lambda.e ^ [(-lambda) x]. Consider 
the case where lambda = 1 and get a list of 10 values generated. 

Tip: Use the method of generating investment and the R runif.
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Let f (x) = 3x a density function of a continuous random variable 
X with area defined in range [0, 2]. Apply the method of investment and describe an algorithm to generate variables 
random function of density. Implement the algorithm in the U.S. and proceed to the generation of a sample of 
Size 100. Estimate addition, the quantiles 2%, 10%, 25%, 50%, 90%, 95% and 99% and compare them 
with the theoretical quantiles.
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