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Va Form 4107 2015 2019 : Revise, Finish and download

you've conducted a literature review and.now you have a research question let's.take a look at the data raw data.consists of long lists of numbers and.labels that don't seem to be very.informative raw data lacks context.exploratory data analysis is what you.use to make sense of the data you do.this by converting data from its raw.form to a form that makes sense that has.context that tells the story you want to.tell basically exploratory data analysis.consists of organizing and summarizing.raw data looking for important features.and patterns in the data looking for any.striking deviations from those patterns.and interpreting your findings in the.context of the problem.or research question we begin.exploratory data analysis by looking at.one variable at a time also called.univariate analysis in order to convert.raw data into useful information we need.to summarize and then examine the.distribution of any variables of.interest by distribution of a variable.we mean what values the variable takes.and how often the variable takes those.values if we were studying a small.number of observations we could do this.with a pencil and paper a calculator or.even in our heads the datasets you're.working with often have thousands of.observations working with such large.samples is only achievable if we use.statistical software these software.programs require the use of syntax or.formal code to retrieve analyze and.manipulate data learning to write code.learning the properties of syntax can.really expand your capacity for engaging.in statistical applications and is a.central skill you'll learn in this.course this skill will also greatly.expand your capacity for engaging in.deeper levels of quantitative reasoning.about data for this course you'll be.using our and our studio our is a very.powerful statistical package.looking at all the windows menus and.features though can be rather daunting.so it's important for you to realize.that this course will introduce you to.the basics of the software and the.syntax you'll learn what you need to.know to get started asking and answering.interesting questions about data in the.beginning it may feel like you're.learning another language basically you.are as you work through your project you.should begin to feel more comfortable.implementing the various decisions.you'll be making about the data when you.need help seek it from your course.moderator professor your peers or from.course discussions now you need to.install our and our studio follow the.available instructions in the document.called getting started with our.[Music].now that you've installed our in our.studio it's time to start learning to.write a program open our studio if you.haven't already when you open our studio.you're also opening our our studio.provides tools that make it easier to.work with our and its libraries the.following videos are full of important.information they introduce you to.writing code in our please work at a.comfortable pace and stop the video to.work on your program and incorporate.what you're learning as you go along.here's how to begin the first time you.open the program the console where you.execute commands will take up the left.side of the screen in the file window on.the lower right will show the default.directory you want to set your working.directory to the folder which contains.your data and where you want to save and.write files to set the working directory.go up to session on the menu bar at the.top of the screen select set working.directory and then choose directory from.here you can browse to the folder where.you want to save your work for this.class as an example this working.directory is set to a folder within.documents called R once you've found the.folder where you want to save your work.for this class click select folder which.sets that folder as the working.directory this allows you to save all of.your our files and to import and run.datasets from this directly.so let's write a program select file new.file and our script this will open a new.window on the top left above the console.in our studio this window works.similarly to a word processor it.automatically uses color coding to help.you write and debug your program blue.font indicates our key word numbers are.shown in a darker blue green is used for.text strings a string and are consist of.alphanumeric or other characters.enclosed by double quotation marks a.light green is used to show comments.which starts with the number or pound.sign R is case sensitive so be sure to.use the correct capitalization when you.write your programs there are a few.basic steps that are and all other.statistical software languages require.when you begin writing a program if you.look at the console window you'll see.that selecting a working directory.provided you with the corresponding.command that starts with set WD so that.you do not need to set the working.directory each time you open R it's.important to copy this line of code and.paste it as the first line of code in.your program next you'll load the data.set that you'll be working with which is.in the form of an R data file and has.the extension dot R data this step is.also sometimes called reading or calling.in the data set to be able to load data.you'll first need to download the dot R.data file from the course site into the.directory where you're keeping your.class files and where you've set your.working directory.once the our data file is downloaded.into your working directory the code for.loading the nice art data is load parens.quotation mark nice arc underscore PDS.dot our data quotation marks in parents.we use the function load to access the.data set in our functions are always.followed by a set of parentheses.remember that as shown here you include.the name of the data file you want to.load inside either single or double.quotation marks in parentheses.alternately if the data set is located.in a different folder on your computer.or on a network drive you would need to.include the full path name in your code.here's an example if you chose the Mars.crater data set the word nice arc.underscore PDS would become Mars crater.underscore PDS for the national.longitudinal study of Adolescent Health.the name would be changed to add health.underscore PDS if you chose the.Gapminder data set the name will become.Gapminder and so on the name of the.dataset that we've selected for our.sample research is nice arc underscore.PDS to run your program put your cursor.on a line of code in your AR program.then click the run icon which is located.to the left of the program window this.will run the current line after you load.the data set you should see the name of.the data set in the environment window.on the top right of your screen this.window lists all the objects that are.currently available in your AR.environment or your our session right.now the only object is the nice art data.set often called a data frame in R you.can also see its dimensions forty three.thousand ninety three observations or.rows and three thousand eight variables.or columns click on the nice arc object.in the environment window and part of.the data set will appear as a tab in our.script or program editor window R will.also print the function view parents to.the console which was used to display.the nice arc data set you can see that.the columns represent the variables in.the data set and the rows represent the.individual observations or participants.in the nice arc survey it's important to.have a variable in your data set that.uniquely identifies each observation.often called the unique identifier and.then these are.data set it's called ID num you can see.this variable in this first variable.column.you want to make a copy of the data set.to work with and to give your copy its.own name here going back to the program.file we're going to add code that copies.the niece art data and calls this new.data set data however you can call it my.niece arc or my data or any other name.of your choosing this name is what you.will use to refer to the data set when.you're working with it in our data.assignment operator nice arc use the.assignment operator which is a less than.sign followed by a hyphen to tell our to.make a copy of your data set and store.it as the new data frame or object the.assignment operator looks like an arrow.which can help you remember that the.value or expression on the right hand.side gets stored in the new object.that's named on the left hand side put.another way our takes what's on the.right side of the arrow evaluates it and.stores it in the object on the left side.of the arrow be sure to use the name on.the right hand side of the assignment.operator that appears in your.environment window which is not.necessarily the same as the name of the.our data file when you select and run.this line of code the new object data.pops up in the environment window you'll.be able to create many objects in our.but it's important to remember that our.is case-sensitive so the object data in.lowercase letters will be stored.differently from data in uppercase.letters.all of the code that will right after.this statement will work with this data.set we've named data before we move on.let's save this program to do this click.the Save icon on the top left of your.program window.the default name is untitled but you.should feel free to rename the program.as you like here we name it a nice arc.program the our program also known as an.R script will be saved to your working.directory this file with the extension.dot R is essentially a specialized file.containing all of your R code.remember we stated exploratory data.analysis begins by looking at one.variable at a time this is called.univariate or descriptive analysis in.order to convert raw data into useful.information we need to summarize and.examine the distribution of any.variables of interest the variables of.interest are the variables of interest.to you the researcher in answering your.research questions addressing your.research problem and telling the story.you wish to tell with your research by.distribution of a variable we mean what.values the variable takes and how often.the variable takes those values here's.an example a random sample of 1200 US.college students were asked the.following questions as part of a larger.survey what's your perception of your.own body.if you feel that you're overweight just.about right or underweight this table.shows part of the data five of the 1200.observations information that would be.interesting to get from this data.includes what percentage of the sample.students fall into each category or how.our students divided across the three.body type image categories are they.equally divided if not do the.percentages follow some kind of pattern.there's no way that we can answer these.questions by looking at the raw data.which are in the form of a long list of.1200 responses that is not very useful.however all these questions will be.easily answered once we summarize and.look at the frequency distribution of.the variable body image that is once we.summarize how often each of the.categories occurs in order to summarize.the distribution of a categorical.variable we first create a table of the.different values or categories the.variable takes how many times each.variable occurs which is the count and.more importantly how often each variable.occurs which is expressed by converting.the counts to percentages.now that we've summarized the.distribution of the body-image variable.let's go back and interpret the results.in the context of the questions that we.post what percentage of the sample.students fall into each category our.students divided across the three body.image categories and are they equally.divided you can see that most of the.samples that is 71.3% felt that their.weight was about right and that a.comparatively small percentage fell.under way at 9.2 percent the overweight.category was nineteen point six percent.go back to your art program now to learn.how to use the frequency function to.generate distributions for the variables.of interests that pertain to your.research question the frequency function.is in the library.des CR and you'll need to load that.library each time you start our studio.libraries or packages are collections of.our functions that others have written.to add on to the basic functionality.that's built into our each time you run.your code you'll need to tell our that.you want to use functions from a.specific package to do this use the.syntax library parents package name.close parents.if you followed all the instructions on.the document getting started with our.then you should already have installed.the packages you'll be needing for this.course.descriptive statistics the DSC R package.and Herold miscellaneous the h mi SC.package to install a package go to tools.in the menu toolbar install packages and.then start typing in the name of the.package you want to install it will.start to autocomplete the package names.choose which one you want and click.install.you only have to do the install step.once on each computer you use well you.need to run the library function in your.program each time you reopen our and.want to use a function from that library.now that we've installed the DES see our.package we can use it by typing library.parents des see our close parents and.selecting run to generate frequency.distributions with a DES see our library.we use the frequency function freak like.all functions freak followed by parents.needs an input inside the parentheses.which is the variable you're interested.in looking at since each variable only.exists as part of your data set or data.frame you need to tell our where to find.that variable by typing the name of the.data set followed by a dollar sign.before the variable name freaked parents.data dollar sign variable name close.parents before we actually run any.frequencies we should add labels to our.variables because the actual variable.names are cryptic it's a good idea to.give them labels that are easily.interpreted at a glance we'll return to.our program and show you how to generate.variable labels for your output we do.this using the command label however.since this function is in the library.HMIS see that library has to be loaded.first.click on tools' install.packages type.HMIS see and then click install once.you've installed this library you can.add this library package to the program.to be run.then you can highlight both library.commands and run them now the label.function takes as an input the name of.the variable you wish to label access.through the data set using the dollar.sign a clear description of the variable.in quotation marks is assigned to the.label function using the assignment.arrow.note that each label statement should.take up only one line of code and not.have any breaks library parents HMIS see.in Perrin label Perrin data dollar sign.tab 12 MDX.assignment arrow quotation mark tobacco.dependence past 12 months in quotation.for my research question I'm interested.in looking at the association between.how much a person smokes that is.quantity and frequency of smoking and.the presence or absence of nicotine.dependence going back to the knee start.code book you may recall that I have a.number of variables that measure smoking.behavior and nicotine dependence it's.the actual name of the variable rather.than the longer descriptive name that.I'll include in my program in order to.generate frequency distributions I have.the names of each of the variables.circled here in red.you'll write one line of code for each.variable that you want to examine type.phreak and then inside the parentheses.the name of the data set followed by the.dollar sign in the name of the variable.here's our example our a program thus.far with the frequency functions added.you have your load command you have your.data command your library commands you.have your label commands and your.frequency commands.when you add label and frequency.functions for your variables of interest.from the data set you've chosen you've.completed your first hour program you'll.build on this program as you progress.through your project before you run the.program you should go to the files.window in the lower right portion of.your screen you can increase the size of.this window by clicking and dragging the.top edge of the window this will give.that portion of the window room to.display graphs generated by the.frequency procedure then you just need.to click the Save button at the top of.the program or script window you run the.program by putting your cursor on a line.of code in your program and then.selecting run once your program has.finished running the commands the output.and any error messages will appear in.the console window in this example the.program has run successfully we can tell.it's run successfully because as we.scroll through the console commands.shown in blue will be followed by the.appropriate output which is frequency.distribution in this case if the program.ran successfully there will be no error.messages in the console window error.messages are typically indicated in red.font if you do find any errors listed go.back to your script correct the errors.save the corrected code and then run the.program again in addition to the.frequency table for nicotine dependence.in the past 12 months that we see in our.console this command generated a bar.graph which visualizes the frequency of.responses across all levels of this.variable you can see that there are more.than 38,000 individuals without nicotine.dependence and nearly 5000 with nicotine.dependence you can also run multiple.lines by highlighting multiple lines.before selecting run here.you can scroll through the results to.examine the frequency distribution for.each variable you can also click the.back arrow in the plotting window to.examine each of the graphs displaying.the frequency distributions.now you can see that the frequency.distributions include both the variable.name and the variable labels let's look.at the first table which shows the.distribution of responses for the.variable tobacco dependence in the past.12 months the nice art codebook tells us.that one means yes and 0 means no.following this list of response values.the table also shows the frequency of.each and the percent of individuals with.and without nicotine dependence for.variables that include missing data a.column showing percent of valid data.will also be displayed by consulting the.codebook you can interpret and describe.each of these frequency tables in the.same way for some variables you'll want.to get the cumulative percent you can.add another column to the frequency.table by adding the as dot ordered.function let's do this for the smoking.frequency and smoking quantity variables.freak parents as dot ordered parents.data dollar sign s3a q3 b1 close parents.close parents mimic that for the next.variable save and then highlight and run.these two lines of code after running.these lines of code we see an additional.column Hume percent standing for.cumulative percentage this can allow you.to evaluate your data more fully for.example looking at the cumulative.percent column for smoking quantity we.can see that about fifteen percent of.adults in the nice art dataset smoked.three or fewer cigarettes per day once.you've examined frequency tables for.your variables the next decision you.need to make is whether you want to.subset the data and ask a question based.on specific observations or whether you.want to ask the question of the entire.sample.in other words are there particular rows.in the data set that is individual.observations that you want to keep and.others that you want to exclude for.example we're most interested in the.association between smoking and nicotine.dependence and young adults who may.still be establishing their smoking.patterns therefore we decide to examine.only those adults who are 25 or younger.and exclude all adults older than the.age of 25 we also decide that we want to.focus on recent smokers rather than.individuals who've smoked more than a.year ago.so the original research question for.our example is further clarified to.include the association between smoking.and nicotine dependence but only among.young adults who have smoked in the past.12 months the research question is not.changed rather the question will be.asked based only on a subset of.observations that are available in a.specific data set that will help answer.the research question to implement these.decisions we'll go back to our program.and add an additional statement.immediately following the statements.that load and copy our data set.specifically we'll add a logic statement.that tells our to include only those.observations that will help us answer.our research question a logic statement.requires one or more operations.here's a table of common operations used.in our these include equal to not equal.to greater than less than greater than.or equal to and less than or equal to.the following logic statements will need.to be added to this program in order to.call in the specified subset of the.observations now to be used as the basis.of the research question sub one.assignment arrow data.square bracket data dollar sign check.three to one equal equal one ampersand.data dollar sign age less than or equal.to 25 comma close square bracket this.line of code creates a new data set that.we're going to call sub one and it will.contain only those rows that is.observations that satisfy both logic.statements our logic statement indicates.that check three to one equals one in.our equals is displayed with a double.equal sign and that age is less than or.equal to 25 years old square brackets.are used to specify certain rows or.columns and a data set we need to tell.our whether we want to specify rows or.columns the format for this is data set.named square bracket which rows.observations comma which columns.variables close bracket since we want to.specify certain rows the logic.statements for check 3 2 1 and age.joined with an ampersand go inside the.open square bracket and before the comma.now let's run this here you can see this.new sub 1 object has popped up in the.environment window sub 1 is the new.start data set that includes only young.adult smokers who smoked in the past 12.months if we click on the sub 1 object.we get a tab in our script editor window.that displays the new data set however.many of the observations have an n/a.which is ours representation for missing.data.this is caused by missing data in either.the age or check three to one variable.we need to command R to exclude these.missing observations otherwise our will.put these missing values into the data.set also to do this we modify the.command by adding logic statements that.remove missing data for the age and.check three two one variables what we're.going to do is modify the sub one.command.here the code asks for observations in.which age is not equal to na and here.the code asks for observations in which.check 3 2 1 is not equal to na putting.an exclamation point in front of an is.n/a ask for observations in which values.for that variable is not equal to.missing or in our language is not equal.to na the is DNA function basically.evaluates whether or not a value is an.na the format for the remainder of the.code remains unmodified and it follows.the model data set named square bracket.which rows comma which columns in square.bracket this is where we define what.observations are rows we want to keep on.the left side of the comma and what.variables are columns we want to keep on.the right side of the comma we still.want to include all the columns or.variables so we can leave a space after.the comma and before the closing bracket.even if you want to keep all the rows or.all the columns from a data set you'll.still need the comma so that our knows.whether what you specified refers to.rows or columns now save and run this.line of code that creates the sub 1 data.set.you.now let's rerun our frequency.distributions but this time based on the.observations and our new sub one data.set freak parens as dot ordered parens.sub one dollar sign tab twelve MDX.closed Peron closed parent and you.follow that model let's also add the.code to our program to get a frequency.table for the variable age drawn from.our new sub one data set.you.now when these lines of code are saved.and run you can see frequency.distributions for each of the variables.but only for the 1706 individuals aged.18 to 25 who reported smoking in the.past 12 months.I can be confident that I am now working.with this sample because as you can see.all of the 1706 observation has a one.meaning yes for having smoked in the.past twelve months and if I scroll down.to the distribution of age I can see.that only 18 to 25 year olds are.included in the sample if for your own.research question you are completely.unsure at this point whether or not you.want to limit your question to a subset.of observations no worries in that case.there would be no need for you to add.any additional logic statements to your.program this is always a decision and an.example that you can revisit in the.future throughout your program you.should also include notes preceded by.the number or pound symbol to help.remember what specific lines of code do.as you keep adding to your code it will.become difficult to remember why you.wrote what you wrote here's a note added.to our example code it's a note to.remind ourselves that the data is being.subset to include only past 12 months.smokers age 18 to 25 the note is written.in light green within the program by.using the pound or number sign you're.able to comment out your notes so that.our does not read them as actual.programming statements you should.definitely use this commenting out.technique early and often as you build.your program these notes can be very.important because they'll help you keep.track of decisions you've made and.actions you've taken in writing your.code once you're satisfied that your our.script is correct and complete you can.make use of our markdown in order to.produce a notebook or report file that.integrates your are commands with a.corresponding output you can do that by.clicking on the notebook icon at the top.of your script editor window near the.middle of that window clicking on this.icon opens up a box that says compiled.notebook from our script and asked you.to select the format of the notebook the.default is HTML we'll select that and.click compile an HTML file should.automatically open once the program is.complete you can save that to your.computer as a report please be aware.that.syntax errors must be corrected before.compiling a notebook with our markdown.the report file will not be created if.there are any errors in your our script.at this point and whenever you've added.something to your code you should save.it it's highly recommended to keep one.detailed commented and organized our.program for your project this is because.you'll want to have a program file that.you can use to rerun the commands you've.written when you close our studio it.will ask you if you want to save your.workspace saving a complete accurate and.well-organized our script file makes it.unnecessary to save the workspace image.so you can select no here you now have.the tools you need to complete.assignment two for this assignment you.should write our code that displays.frequency tables for the variables that.you've selected for your research.question.[Music].

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Va Form 4107 2015 2019 FAQs

Here are some questions along with their answers to clear up the doubts that you might have.

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How do I fill out a CLAT 2019 application form?

How do I fill out the college preference form of the CLAT 2019? If you are AIR 1 and eligible for admission to all 21 NLUs, which one would you prefer? That is your first choice. Your first choice is not available. Out of the remaining 20, you are eligible for all 20. Which one will you prefer? That is your second choice. Your second choice is not available. Out of the remaining 19, you are eligible for all 19. Which one will you prefer? That is your third choice. Repeat the process till you have ranked all 21 NLUs. All the best.

How do I fill out the NEET 2019 application form?

Though the procedure is same as last earlier only the dates has been changed (tentative) yet to be announced by cbse u can fill form in October for the exam of February and in March for the exam of may if u r not satisfied with ur previous performance. All the best

How can I fill out the BITSAT Application Form 2019?

Hi dear First You have To sign Up Registration On BITSAT official website, and then fill up all of requirement they have to Know after registration successfully you have to fill login detail on the official website to process application form for different course you have to become eligible , for more detail all about you can Click Here

How can I fill out the COMEDK 2019 application form?

Go to homepage of COMEDK go to www. Comedk. org. in. then go register and after getting registered u will get a application number then u can proceed in the application form.

Can you appeal a VA decision after a year?

I have been very naughty and infringed your polite and blah blah policy. For this I genuinely apologize. I had answered a question concerning whether Romeo and Juliet would go to Hell for their sins or some other place. I had answered that the writer of that question should be put back in the straight jacket as the men in white coats are in a rush to get back to the institute, or words to that affect. I am a realist and an atheist, when a question about characters from a Shakespearen play are brought to life with a totally ridiculous and meaningless question I have to answer it the Swedish log Continue Reading

What percentage of VA disability appeals are approved?

I’m not sure if you are meaning on the first go round or approved eventually. I would guess a huge majority of claims are approved in the end. I know one deadbeat POS that worked for years but finally received a 100% disability for PTSD. This was after he laughed and told us of websites that went into detail of what to tell the VA to be approved. And one more thing, he was never in actual combat, he was a damn mechanic. I think for the most part it is a pretty high number that are approved. If someone isn’t approved they have nothing to lose to keep appealing.

How long do I have to appeal a VA disability decision?

This is impossible to answer. I have heard of cases going through in 6 months and also some that can take a decade. There really is no rhyme or reason that I have been able to ferret out. They state that the cases are taken strictly in the order they are received so it will depend on where you are in the queue. The best advice I can offer is; get an eBenefits Account, make sure you have given them your Complete records and paperwork, ensure you have good communications with your VSO (if you are using one), respond to requests promptly when they ask for more information, and use the phone numb Continue Reading

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