Question
In: Statistics and Probability
Load the package nycflights13 with library(nycflights13). If you are on running R Studio locally, you must...
Load the package nycflights13 with library(nycflights13). If you are on running R Studio locally, you must install this package before you can use it!
# install.packages("nycflights13")
library(nycflights13)
library(ggplot2)
library(dplyr)
data(flights)
data(airports)
data(airlines)
Question 2
The dataset `airlines` contains the full name of the carrier (examine it!). Join the dataset with the flights dataset so all of the information in `flights` is retained. Using the merged dataset, which carrier (`name`) has the longest average departure delay? Which has the shortest?
Solutions
Expert Solution
install.packages("nycflights13")
library(nycflights13)
library(ggplot2)
library(dplyr)
data(flights)
data(airports)
data(airlines)
flights = merge(flights,airlines,by= "carrier", all.x=TRUE)
flights[which.max(flights$dep_delay),]
flights[which.min(flights$dep_delay),]
longest is for
Hawaiian Airlines Inc.
shorted is for
JetBlue Airways
orchestra answered 1 year agoRelated Solutions
load the MASS library in R. A. Package ‘MASS’ which provides a description of the datasets...
load the MASS library in R. A. Package ‘MASS’ which provides a
description of the datasets available in the MASS package. Then,
answer each of the following questions using the appropriate test
statistic and following formal steps of hypothesis testing.
A:Test of equal or given proportions: Use the
“bacteria” data set to answer the question, “did the drug
treatment have a significant effect of the presence of the bacteria
compared with the placebo?”
B: F-test: Use the “cats” data set...
** Number 2 implemented in R (R Studio) ** Set up the Auto data: Load the...
** Number 2 implemented in R (R Studio) **
Set up the Auto data:
Load the ISLR package and the Auto data
Determine the median value for mpg
Use the median to create a new column in the data set named
mpglevel, which is 1 if mpg>median and otherwise is 0. Make sure
this variable is a factor. We will use mpglevel as the target
(response) variable for the algorithms.
Use the names() function to verify that your new column...
Assignment: Install and load the ggplot2 package. load the "diamonds" dataset RCode: install.packages("ggplot2") library(ggplot2) ?diamonds 1....
Assignment:
Install and load the ggplot2 package.
load the "diamonds" dataset
RCode:
install.packages("ggplot2")
library(ggplot2)
?diamonds
1. Explore the dataset & state insights
2. Create plots for dataset
3: Provide summary of descriptive stats)
4. Run the regressions, research, Investigate & comment on
R^2 & on regression plots - 1 line each.
#===========================================
# DV = Price, IV or IVs = your choice
# Can we create and compare models to predict "Price"?
# Question- Investigate & comment on R^2 &...
Assignment: Install and load the ggplot2 package. load the "diamonds" dataset RCode: install.packages("ggplot2") library(ggplot2) ?diamonds 1....
Assignment:
Install and load the ggplot2 package.
load the "diamonds" dataset
RCode:
install.packages("ggplot2")
library(ggplot2)
?diamonds
1. Explore the dataset & state insights
2. Create plots for dataset
3: Provide summary of descriptive stats)
4. Run the regressions, research, Investigate & comment on
R^2 & on regression plots - 1 line each.
#===========================================
# DV = Price, IV or IVs = your choice
# Can we create and compare models to predict "Price"?
# Question- Investigate & comment on R^2 &...
Assignment: Install and load the ggplot2 package. load the "diamonds" dataset RCode: install.packages("ggplot2") library(ggplot2) ?diamonds 1....
Assignment:
Install and load the ggplot2 package.
load the "diamonds" dataset
RCode:
install.packages("ggplot2")
library(ggplot2)
?diamonds
1. Explore the dataset & state insights
2. Create plots for dataset
3: Provide summary of descriptive stats)
4. Run the regressions, research, Investigate & comment on
R^2 & on regression plots - 1 line each.
#===========================================
# DV = Price, IV or IVs = your choice
# Can we create and compare models to predict "Price"?
# Question- Investigate & comment on R^2 &...
The dataset ’anorexia’ in the MASS package in R-Studio contains data for an anorexia study. In...
The dataset ’anorexia’ in the MASS package in R-Studio contains
data for an anorexia study. In the study, three treatments (Treat)
were applied to groups of young female anorexia patients, and their
weights before (Prewt) and after (Postwt) treatment were recorded.
The three treatments adminstered were no treatment (Cont),
Cognitive Behavioural treatment (CBT), and family treatment
(FT).
Determine at the 5% significance level if there is a difference
in mean weight gain between those receiving no treatment and those
receiving...
The dataset ’anorexia’ in the MASS package in R-Studio contains data for an anorexia study. In...
The dataset ’anorexia’ in the MASS package in R-Studio contains
data for an anorexia study. In the study, three treat-
ments (Treat) were applied to groups of young female anorexia
patients, and their weights before (Prewt) and after (Postwt)
treatment were recorded. The three treatments adminstered were
no treatment (Cont), Cognitive Behavioural treatment
(CBT), and family treatment (FT).
Determine at the 5% significance level if there is a difference in
mean weight gain between those receiving no treatment
and those...
USING R STUDIO- Write the r commands for the following. 1. Non-Linear Models 1.1 Load the...
USING R STUDIO- Write the r commands for the following.
1. Non-Linear Models
1.1 Load the {ISLR} and
{GGally} libraries. Load and attach the
College{ISLR} data set.
[For you only]: Open the College data set and
its help file and familiarize yourself with the data set and its
fields.
1.2 Inspect the data with the ggpairs(){GGally}
function, but do not run the ggpairs plots on all
variables because it will take a very long time. Only include these
variables in...
Using the R package to answer the following two questions. You MUST submit your R code...
Using the R package to answer the following two questions. You
MUST submit your R code for analysis.
2. Below are heights for a simple random sample of n = 15 young
trees (in cm). (50 pts) 27, 33, 33, 34, 36, 37, 39, 40, 40, 41, 41,
42, 44, 46, 47.
(a) Test the hypothesis that the mean tree height is equal to 38
cm.
(b) Calculate the 95% confidence interval for the population mean
of young trees.
(c)...
2. The dataset ’anorexia’ in the MASS package in R-Studio contains data for an anorexia study....
2. The dataset ’anorexia’ in the MASS package in R-Studio
contains data for an anorexia study. In the study, three treatments
(Treat) were applied to groups of young female anorexia patients,
and their weights before (Prewt) and after (Postwt) treatment were
recorded. The three treatments adminstered were no treatment
(Cont), Cognitive Behavioural treatment (CBT), and family treatment
(FT).
Determine at the 5% significance level if Cognitive Behavioral
treatment is effective in helping patients gain weight. Perform all
necessary steps for...
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- What are the advantages and disadvantages of the residual policy? (Hint: Don’t neglect signaling and clientele...
- Question 01. Select an Organization of your choice which is known for excellent team performance and...
- A rocket is launched at an angle of 53.0° above the horizontal with an initial speed...
- 14) There is a growing tendency for Western clients to designate a(n) ________ to facilitate the...
- 1. Consider a feed containing benzene, toluene, and cumene with mole fractions of 0.25, 0.5, and...
- The internet has lowered the entry barriers for smaller firms that wish to diversify into international...
- 21) A company with a polycentric orientation, selling a low-tech product in a less-developed country will...
ADVERTISEMENT