Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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[画像: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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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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