create a function in R studio. function name: df_summary (ex. df_summary(data)) first condition: Data must be data frame that includes both character and numerical variables. (other variables are not allowed) second condition: when there is no numerical variable in the data: return "None Numeric Variable" when there is one or more numerical variable: return each numerical variable's min, mean, median, max, and sd(rounded to 3 decimals). the row name must be saved as each row name(examples will be given below) example)
create a function in R studio. function name: df_summary (ex. df_summary(data)) first condition: Data must be data frame that includes both character and numerical variables. (other variables are not allowed) second condition: when there is no numerical variable in the data: return "None Numeric Variable" when there is one or more numerical variable: return each numerical variable's min, mean, median, max, and sd(rounded to 3 decimals). the row name must be saved as each row name(examples will be given below) example)
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
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![create a function in R studio.
function name: df_summary (ex. df_summary(data))
first condition:
Data must be data frame that includes both character and numerical variables. (other
variables are not allowed)
second condition:
when there is no numerical variable in the data: return "None Numeric Variable"
when there is one or more numerical variable:
return each numerical variable's min, mean, median, max, and sd(rounded to 3
decimals).
the row name must be saved as each row name(examples will be given below)
example)
in2= data.frame (a-1:4, b-10:25, c-c (2,4,1,8))
df_summary(in2)
min mean median max
sd
2.5 4 1.155
a 1 2.50
b 10 17.50
17.5 25 4.761
C 1 3.75
3.0 8 2.769
in3= data.frame(a=LETTERS [1:4],c=rep ("A",4))
df_summary(in3)
[1] "None Numeric Variable"
in4= data.frame (a=LETTERS, b=100:125)
>
df_summary(in4)
min mean median max sd
b 100 112.5 112.5 125 7.649
> in5= data.frame(a=LETTERS)
> df_summary(in5)
[1] "None Numeric Variable"](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F50713fa6-5fbf-477e-abc8-09ad814a2966%2F5eb3178a-3465-48f5-a3aa-e33d5e3b3bb3%2Fjgl80lm_processed.png&w=3840&q=75)
Transcribed Image Text:create a function in R studio.
function name: df_summary (ex. df_summary(data))
first condition:
Data must be data frame that includes both character and numerical variables. (other
variables are not allowed)
second condition:
when there is no numerical variable in the data: return "None Numeric Variable"
when there is one or more numerical variable:
return each numerical variable's min, mean, median, max, and sd(rounded to 3
decimals).
the row name must be saved as each row name(examples will be given below)
example)
in2= data.frame (a-1:4, b-10:25, c-c (2,4,1,8))
df_summary(in2)
min mean median max
sd
2.5 4 1.155
a 1 2.50
b 10 17.50
17.5 25 4.761
C 1 3.75
3.0 8 2.769
in3= data.frame(a=LETTERS [1:4],c=rep ("A",4))
df_summary(in3)
[1] "None Numeric Variable"
in4= data.frame (a=LETTERS, b=100:125)
>
df_summary(in4)
min mean median max sd
b 100 112.5 112.5 125 7.649
> in5= data.frame(a=LETTERS)
> df_summary(in5)
[1] "None Numeric Variable"
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