I Have added my rubric. I need to run and need a paper written thoroughly and it has to be in a narrative form! It needs to include descriptives. Runs the models state the the problem Questions we...

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I Have added my rubric. I need to run and need a paper written thoroughly and it has to be in a narrative form! It needs to include descriptives.Runs the models





state the the problem


Questions we have


Tell about data give descriptives etc






What’s model


What you find


What it means











Answered 7 days AfterApr 28, 2022

Answer To: I Have added my rubric. I need to run and need a paper written thoroughly and it has to be in a...

Mohd answered on May 05 2022
85 Votes
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5/5/2022
Loading packages
library(readxl)
library(magrittr)
library(dplyr)
library(ggplot2)
library(rmarkdown)
library(MASS)
library(gvlma)
importing dataset
l
ibrary(readr)
cog <- read_csv("New folder (2)/cog.csv")
View(cog)
#removing un neccesory attributes
cog$...1=NULL
hist(cog$cognition)
Descriptive measures
skimr::skim(cog)
Data summary
    Name
    cog
    Number of rows
    550
    Number of columns
    7
    _______________________
    
    Column type frequency:
    
    character
    2
    numeric
    5
    ________________________
    
    Group variables
    None
Variable type: character
    skim_variable
    n_missing
    complete_rate
    min
    max
    empty
    n_unique
    whitespace
    demgroup
    0
    1
    4
    7
    0
    3
    0
    female
    0
    1
    4
    6
    0
    2
    0
Variable type: numeric
    skim_variable
    n_missing
    complete_rate
    mean
    sd
    p0
    p25
    p50
    p75
    p100
    hist
    personid
    0
    1
    275.50
    158.92
    1.00
    138.25
    275.50
    412.75
    550.00
    ▇▇▇▇▇
    cognition
    0
    1
    24.82
    10.99
    0.00
    17.25
    25.00
    33.00
    44.00
    ▂▅▇▇▆
    age
    0
    1
    84.93
    3.43
    80.02
    82.33
    84.33
    86.19
    96.97
    ▇▇▂▂▁
    grip
    0
    1
    9.11
    2.98
    0.00
    7.00
    9.00
    11.00
    19.00
    ▁▅▇▃▁
    sexmw
    0
    1
    0.59
    0.49
    0.00
    0.00
    1.00
    1.00
    1.00
    ▆▁▁▁▇
mutate_if(cog,is.character,factor)
## # A tibble: 550 x 7
## personid cognition age grip sexmw demgroup female
##
## 1 1 23 92.6 9 1 None female
## 2 2 24 91.8 11 0 Future male
## 3 3 29 92.6 12 0 None male
## 4 4 16 94.4 6 1 None female
## 5 5 27 85.8 9 1 None female
## 6 6 ...
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