By using R language do the following for the following data : Question1 Part1 -Calculate the mean age for females and males and correlation coefficient between weights and lengths - Several types of correlation coefficients exist. Go to the help of the cor() function and find which correlation coefficient is calculated by default. -Add the appropriate argument to the cor() function in the previous command so that the Spearman correlation is calculated instead.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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"id"    "surgery"    "sex"    "age"    "weight"    "length"    "BMIpre"    "BMIpost"    "complic"    "comorb"    "depressi"    "diabetes"    "SES"

1    0    "Female"    NA    NA    NA    NA    NA    NA    0    0    0    1
2    0    "Female"    63    94    1,63    35,3795777    26,34649403    1    0    0    0    3
3    0    "Female"    29    74    1,57    30,02150189    NA    1    0    0    0    1
4    0    "Female"    32    112    1,67    40,15920255    25,4580659    0    0    0    0    1
5    0    "Female"    33    92    1,66    33,38655828    23,22543185    0    1    0    0    2
6    0    "Female"    33    108    1,55    44,95317378    NA    0    0    0    0    3
7    0    "Female"    41    70    1,62    26,6727633    NA    0    0    0    0    2

8    1    "Female"    20    102    1,76    32,92871901    25,82644628    0    0    0    0    3
9    1    "Female"    33    150    1,77    47,87896198    34,47285263    1    1    1    0    1
10   1    "Female"    37    113    1,69    39,56444102    30,28605441    1    1    0    0    1
11    1    "Female"    42    149    1,7    51,55709343    37,37024221    0    1    0    0    2

12   0    "Male"    52    128    1,8    39,50617284    30,86419753    1    0    0    0    3
13    0    "Male"    50    100    1,74    33,02946228    NA    0    0    0    0    1
14    0    "Male"    17    NA    NA    NA    NA    0    1    0    0    2
15    0    "Male"    45    117    1,9    32,4099723    NA    1    0    0    0    2
16    0    "Male"    26    145    1,82    43,77490641    33,8123415    0    0    0    0    3
17    0    "Male"    54    128    1,8    39,50617284    NA    0    0    0    0    1
18    0    "Male"    26    142    1,87    40,60739512    NA    0    0    0    0    1

19    1    "Male"    36    145    1,8    44,75308642    NA    0    1    0    0    3
20    1    "Male"    41    150    1,78    47,34250726    36,92715566    1    0    0    0    1
21    1    "Male"    33    180    1,83    53,74899221    29,86055123    1    1    0    0    2
22    1    "Male"    41    118    1,72    39,88642509    22,98539751    1    1    0    0    2

By using R language do the following for the following data :

Question1

Part1

-Calculate the mean age for females and males and correlation coefficient between weights and lengths

- Several types of correlation coefficients exist. Go to the help of the cor() function and find which correlation coefficient is calculated by default.
-Add the appropriate argument to the cor() function in the previous command so that the Spearman correlation is calculated instead. 

Part2

-What is the maximum value of weight in the entire dataset?
- How many missing values are there for age?
- What is the mean value for BMIpre for the two surgical techniques (variable surgery)?

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