Question
In: Math
Use R for coding Fit a density estimate to the data set `pi2000` (**UsingR**). Compare with...
Use R for coding
Fit a density estimate to the data set `pi2000` (**UsingR**). Compare with the appropriate histogram. Why might you want to add an argument like `breaks = 0:10-.5` to `hist()`?
I know this much code:
install.packages("UsingR")
library(UsingR)
data(pi2000)
if you put this in R a data set will appear
Solutions
milcah answered 1 year agoRelated Solutions
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With R coding Obs: it supposed to use probability density function like X ~ Binomial( n...
With R coding Obs: it supposed to use probability density
function like X ~ Binomial( n ,p ) dbinom(X=?, n, prob) pbinom(X=?,
n, prob) rbinmo(幾個符合二項分配的X, n, prob) X~Poisson (lamda) dpois(X=?,
lamda) ppois (X=?, lamda) rpois (X, lamda)
Exercises 1) A food company produces canned food, and the weight
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distribution. N (175, 102) (Unit: gram) (a) Specifications indicate
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USE R CODING! Pleaseee I need the code With R coding Obs: it supposed to use...
USE R CODING! Pleaseee I need the code With R coding Obs: it
supposed to use probability density function like X ~ Binomial( n
,p ) dbinom(X=?, n, prob) pbinom(X=?, n, prob) rbinmo(幾個符合二項分配的X,
n, prob) X~Poisson (lamda) dpois(X=?, lamda) ppois (X=?, lamda)
rpois (X, lamda)
**Suppose the random variable X obeys the binomial allocation B
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(a) Use X as the binomial allocation to calculate P(12≤X≤14)
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Assume that we wish to fit a lognormal distribution to this data. Estimate the parameters for the fit distribution
Assume the following dataset:
Original Data
0.314
0.346
0.956
2.015
8.653
0.663
4.612
0.623
0.946
0.788
1.619
6.136
0.168
2.160
0.793
0.753
0.419
0.204
1.950
0.682
0.144
2.273
0.401
0.208
1.422
3.459
0.080
10.004
0.842
0.829
Assume that we wish to fit a lognormal distribution to this data.
Estimate the parameters for the fit distribution
Use a K-S test to determine goodness of fit. Use a critical value of D0.01.
using the mtcars data set data(mtcars) USE data in mtcars library in R 5.Use k means...
using the mtcars data set
data(mtcars)
USE data in mtcars library in R
5.Use k means cluster analysis. 6. Get cluster means. 7.
Visualize the clustering result.
Plot the data and line of best fit in R and paste it into this document
C
D
3
2
6
7
8
5
9
4
1
0
3
4
Plot the data and line of best fit in R and paste it into this document
Code:
Plot:
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This problem is going to use the data set in R called
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This problem is going to use the data set in R called "ChickWeight" that has 4...
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"ChickWeight" that has 4 variables, as described below.
ChickWeight:
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1) weight: a numeric vector giving the body weight of the chick
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a unique identifier for the chick. The...
This problem is going to use the data set in R called "ChickWeight" that has 4...
This problem is going to use the data set in R called
"ChickWeight" that has 4 variables, as described below.
ChickWeight:
A data frame with 578 observations on 4 variables.
1) weight: a numeric vector giving the body weight of the chick
(gm).
2) Time: a numeric vector giving the number of days since birth
when the measurement was made.
3) Chick: an ordered factor with levels 18 < ... < 48 giving
a unique identifier for the chick. The...
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