(r Tog_descriptive) Mydata %% select (Ni, Co) %% log % summary % kable() Mydata select(Ni, co) %-% 10g %% cor % kable() Mydata - select (N1, Co) %% log%% sapply(sd) kable() - Ni Co Min. -6.9078 1st Qu-4.0174 Media-3.5405 Mean -0.48665 Mean -3.3406 3rd Qu: 0.04879 3rd Qu-2.7489 Max: 1.18479 Max: 0.8198 2. Observation: Min.-4.96185 1st Qu-0.91879 Median-0.40407 Ni Co Ni 1.0000000 0.7744844 Co 0.7744844 1.0000000 ## 2. EDA (NÍ & Co) *** 2.1 Nickel (Ni) distribution The following is a graphical representation of Ni distribution. both raw Cun transformed) and in log-transformed scale rig. height=10) parcefco1-c(3.2)) NE h-hist (Mydataisi, main-"wi", co1-2) Ni 0.7870061 Co 1.0499814 boxplot (MydataSN1, horizontal TRUE. ylim-range (hsbreaks), co1-2) ganars Mydatai qq1ine (Mydata N logyi h histclog (MydataSNI), main-"Tog(N1)". col-2) baxplot(log(MydataSNI) col-2) qanorm(Tog (Myda qalineclog (M) horizontal= TRUE, ylim-range (hibreaks), co1-2) -H

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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**** 1.1.5 Log Descriptive for Ni & Co
(r Tog_descriptive)
Mydata %% select (Ni, Co) %% log %% summary % kable()
Mydata - select(Ni, co) %-% 10g %% cor %-% kable()
Mydata %% select (N1, Co) %% 10g %% sapply(sd) % kable()
Ni
Co
Min-4.96185 Min. 1-6.9078
1st Qu-0.91879 1st Q-4.0174
Median -0.40497 Median -3.5405
Mean -0.48665 Mean -3.3406
3rd Qu: 0.04879 3rd Qu-2.7489
Max: 1.18479 Max: 0.8198
2. Observation:
## 2. EDA (N1 & Co)
### 2.1 Nickel (Ni) distribution
parcefco1-c(3,2))
Ni
Co
Ni 1.0000000 0.7744844
Co 0.7744844 1.0000000
NE
The following is a graphical representation of Ni distribution,
both raw Cun transformed) and in log-transformed scale
{r_Nt. fig. height=10)
Ni 0.7870061
Co 1.0499814
h hist (Mydataisi, main-"si", co1-2)
boxplot (MydataSN1, horizontal - TRUE, ylim-range (hsbreaks), co1-2)
col-2)
qanorm(Mydataisi,
qq1ine (MydataiN15
Togni
h histclog (MydataSN1). main-"Tog(N1)". col-2)
boxplot(log (MydatasNi), horizontal
col-2)
qanorm(log (Mydatai), co1-2)
qalineclog (MydatasNi53
3. Observation:
X
TRUE, ylim-range (hübreaks),
H
Transcribed Image Text:**** 1.1.5 Log Descriptive for Ni & Co (r Tog_descriptive) Mydata %% select (Ni, Co) %% log %% summary % kable() Mydata - select(Ni, co) %-% 10g %% cor %-% kable() Mydata %% select (N1, Co) %% 10g %% sapply(sd) % kable() Ni Co Min-4.96185 Min. 1-6.9078 1st Qu-0.91879 1st Q-4.0174 Median -0.40497 Median -3.5405 Mean -0.48665 Mean -3.3406 3rd Qu: 0.04879 3rd Qu-2.7489 Max: 1.18479 Max: 0.8198 2. Observation: ## 2. EDA (N1 & Co) ### 2.1 Nickel (Ni) distribution parcefco1-c(3,2)) Ni Co Ni 1.0000000 0.7744844 Co 0.7744844 1.0000000 NE The following is a graphical representation of Ni distribution, both raw Cun transformed) and in log-transformed scale {r_Nt. fig. height=10) Ni 0.7870061 Co 1.0499814 h hist (Mydataisi, main-"si", co1-2) boxplot (MydataSN1, horizontal - TRUE, ylim-range (hsbreaks), co1-2) col-2) qanorm(Mydataisi, qq1ine (MydataiN15 Togni h histclog (MydataSN1). main-"Tog(N1)". col-2) boxplot(log (MydatasNi), horizontal col-2) qanorm(log (Mydatai), co1-2) qalineclog (MydatasNi53 3. Observation: X TRUE, ylim-range (hübreaks), H
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