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SCIE4401: Data Use in Science - Cumulative Distribution - R Programming Assignment Help
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Task: SOME BASIC R COMMANDS Add clear and concise comment lines to the following set of instructions to describe what each line is accomplishing. You can place the comment line above the command it refers to if you wish. s1 = c(5,11,43,25,67,99,12,34,55,64) # ... comments ... s2 = seq(10,300,by=20) # ... comments ... m = matrix(nrow=2,ncol=5) # ... comments ... quantile(s1) # ... comments ... sd(s2) # ... comments ... var(s2) # ... comments ... s3 = seq(3,12,length.out=30) # ... comments ... pnorm(0.5,lower.tail=FALSE) # ... comments ... s4 = s3[c(10,15,20)] # ... comments ... s4 = s3[-c(20,24:28)] # ... comments ...- The ’tree91.wk1’ described in one of the online tutorials (here) has been downloaded and most of it is available with this assignment as a CSV file (’tree91.csv’). Explain how you would: read in the data file into R; list the names of the variables in the data set; and identify its dimensions (rows/columns). You can learn about data input options (including reading files) in the same tutorial. Use the file provided with this assignment (”trees.csv”), not the one directly downloaded from the the web link above as the two files are not exactly the same.
- For the above data set, cross tabulate the carbon (C) against nitrogen (N) values using the ’table()’ R command. (This command is described in the online tutorial.) Present the script line you used below. What does the cross-tabulation indicate about the C and N values? What N values are most common? What C values are most common? Do N and C appear to be correlated according to the cross-tablulation results?
- DISTRIBUTION VALUES
- DISTRIBUTION VALUES – NORMAL
- DISTRIBUTION VALUES – t-Distribution
- RANDOM NUMBERS – t-Distribution
- SCATTER PLOTS WITH LEGENDS
- USING LOGICAL OPERATORS
- a) Load into R the data in the file ’grades.csv’.
- b) Calculate the percentage of students with grades between 55% and 75% (inclusive) using one line of R code. To select rows, consider using the ’which()’ R command.
- c) Calculate the median grade for students scoring between 50% and 70% (inclusive). d) Extract a smaller table including only the ’hours’ and ’grade’ columns from the grades data frame.
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