You are allowed at most zero DATA steps and seven PROC steps to complete this assignment.

$$ Create a library that points to the provided data sets on your class$$ shared drive. Additionally, create a library named

HW$1$ that points to the location where you will store any data sets you create. Also save any non$-$SAS results you

are required to produce $($e$.$g$.,$ PDF$)$ to the same directory as your HW$1$ data sets.

$$ Recall, any path outside of an X statement must be relative!

$$ Lecture $2$ gave you the name and paths for all the relevant information I provide to you and your assignments

specifications provide any specific names you should use for that assignment.

$$ In this assignment, you$$ll start with the RTPtall data set from our shared library. You should recognize the data values

from HW$0$ a kind person has come along and rearranged the RaleighTempPrecip data set for you so that it has a

more useful structure! $($Guess what you$$ll be learning to do in a few weeks?!$)$ Unfortunately, the kind person isn$$t

perfect, so the data set is not correctly sorted. Nevertheless, you have all the skills necessary to produce a report that

matches mine $($HW$1$ Duggins Weather Analysis.pdf $).$ As always, there are a few elements you$$ll need that cannot be

inferred from the provided report or some critical information I want you to have easy access to$,$ for those I$$ve provided

these pointers!

$$ The PDF uses the Festival style.

$$ In PROC MEANS, the keyword for standard deviation is STDDEV and for interquartile range the keyword is

QRANGE. $($For a full list of keywords, go to the SAS Documentation for the PROC MEANS statement here.$)$

$$ My smaller titles and all footnotes use an $8$ pt font. All other font sizes are the default and all the fonts and colors

are defaults as well.

$$ In the formats for temperature, I$$ve used notation like $[75,90)$ which would indicate that $75$ is included in that

range and that $90$ is not included. Pay attention to that when building your formats.

$$ You now know how to ensure your date, page numbers, and proc titles are each included$/$excluded as needed.

$$ In the frequency analysis table, note that missing values are included in the table $($which requires you modify

the frequency analysis code to ensure that happens$)$ and have a custom label $($which requires you think about

this when building your custom format $-$ you want to make sure that missing values would be included with the

appropriate label whether they appear as a row, a column, or both$).$

$$ When producing output objects that require a subset of the data, I want you to practice creating subsets in a few

different ways so that you are comfortable with different approaches:

$$ For the numeric summary table, select year using a numeric variable and select month by using a character

variable and specifying the values you do want.

$$ For the weighted frequency analysis, select days of the week by using a character variable and specifying the

values you do not want.

$$ For the listing $($printout of records$),$ use only numeric variables when specifying your conditions.

$$ For the output objects that require BY$-$group analysis, keep in mind that your BY statements do not have to

match your PROC SORT, they just cannot conflict. We discussed this in class, but this is your chance to really

think about what that means in a practical application. $($Related question: why would we not just re$-$sort the

data whenever we wanted to$?!)$

$$ As discussed on the first day of class, we don$$t focus on analysis in this course because you have other classes

for that. However, to simulate the inclusion of statistical results in your work $$ and to practice wonderful things

like ODS! $$ you$$re being provided with some code to include in your program that will fit some statistical models

and place part of the results in your report. While you are not required to understand the code, you will need to

modify it using a concept that we did learn.

$$ Insert the following into your program at the appropriate location to add the statistical model results to your

report.

ods select 'Type III Model ANOVA';

proc glm data $=$ HW$1.$;

class DayC;

model Prcp $=$ tMax tMin DayC;

run;

Programming HW #$1$

$$ In the PROC GLM statement, replace the pseudocode with your actual data set name.

$$ Inside the GLM step, replace the pseudocode statement with the an actual statement that will produce

separate statistical models for each distinct $15-$year group in the data set.

$$ Note that the provided ODS SELECT statement looks a little different than usual $$ it has quotes! You don$$t

need to modify this at all and it will work fine if your GLM code is correct. However, to make sure you

understand ODS I$$d encourage you to figure out $($a$)$ how I found out what to put in those quotes and $($b$)$

why I chose to use this particular ODS SELECT statement instead of the syntax you$$ve seen before $$ was it

necessary?

$$ When creating the report, pl