1
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A = matrix(nrow = 3, ncol = 3, data = c(1, 2, 3, -2, 3, 1, 4, 1, 3));
b = c(0,7,7);
solve(A,b);
lpmodel <- make.lp(0, 2);
lp.control(lpmodel, sense="max");
set.objfn(lpmodel, c(2, 3));
add.constraint(lpmodel, c(3, 3), "<=", 2100);
add.constraint(lpmodel, c(1, 2), "<=", 1000);
solve(lpmodel);
get.objective(lpmodel);
get.variables(lpmodel);
curve(5*cos(x),-10,10);
curve(x^2,add=TRUE,col="PURPLE");
set.seed(11);
n <- 100;
dat <- data.frame(
x <- rnorm(100),
e <- rnorm(100, 0, 0.7),
y <- ((3*x^2)+(6*x)-9 + e)
)
summary(y);
plot(x,y);
abline(lm(y~x));
dat <- data.frame(
x <- rnorm(100),
y <- (((3*x^2)+(6*x)-9)+rnorm(n=n,mean= 0, sd=0.5))
)
plot(x,y);
fit.loess = loess.smooth(x, y, span=.75, degree=1);
lines(fit.loess,col="PURPLE");
---
title: "sadfg"
output: html_document
---
#Nadpis1
*R* system je rozdeleny do **dvoch** konceptualnych casti:
1. R base system
+ CRAN
2. vsteko ostatne
---------------------------------------------------------------
##Nadpis2
vyhody | nevyhody | opensource | Nazov
------- | ------- | ------- | --------
kniznice | narocnejsi | yeap | r
kekmeister | paytowin | nope | matlab
###Nadpis3
```{r, echo=TRUE}
summary(cars)
```
```{r, eval = FALSE}
dim(cars)
```
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1. 10.12.2015, 14:01
A = matrix(nrow = 3, ncol = 3, data = c(1, 2, 3, -2, 3, 1, 4, 1, 3));
b = c(0,7,7);
solve(A,b);
lpmodel <- make.lp(0, 2);
lp.control(lpmodel, sense="max");
set.objfn(lpmodel, c(2, 3));
add.constraint(lpmodel, c(3, 3), "<=", 2100);
add.constraint(lpmodel, c(1, 2), "<=", 1000);
solve(lpmodel);
get.objective(lpmodel);
get.variables(lpmodel);
curve(5*cos(x),-10,10);
curve(x^2,add=TRUE,col="PURPLE");
set.seed(11);
n <- 100;
da...
▲
10.12.2015, 14:54
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Však dajte niečo užitočné. Nevidím, že by tu programovanie niekoho zaujímalo, okrem retroaktivistov typu fotóna, ktorý chce programovať 40 rokov starý mikroprocesor, pričom dnes sa to robí úplne inak (čo som videl, priamo v jazyku C).
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