[Gt5 Garage Editor 2.11 ((INSTALL))
Addison Mauldin
I have an older HP-110 LapTop computer that I am trying to get set up for Packet operations. Don't have the manual. I need to know the Voltage and Polarity to feed power to the critter and if the DB9 port is a serial port, a CGA monitor port, or something else??? I assume the RCH port is a power port for Recharge of the Battery Pack. I am also guessing the IN and OUT ports are like Printer/Tape data in/out?? And Last: does anyone know if the ROM can be updated to DOS 3 or Higher? 2.11 was pretty lame in 1984. NOW it is archaic.... (This from a guy who helped build one of the first few Apple's in a garage a hundred years ago......)73 de John Jewkes Re: Need Power Supply info: HP-110
Message #2 Posted by Reinhard Hawel on 25 July 1999, 10:53 p.m.,
in response to message #1 by John Jewkes (W6HNC)
I own a HP Portable plus, so this may not all apply to a 110. I hope I will get a 110 soon.You need a power adapter HP82059D (in the U.S) for the RCH port, i believe. I am from Europe, so I have a HP82066B. This should be rather easy to obtain.The adapter says:Input 90-120 VAC 50-60Hz 7VAOutput 8VAC 3VA maxIt's a simple transformer, so there should be no problem finding a replacement. The plug could be a problem, but I believe you'll surely know some tricks, when you're doing packet radioThe DB9 port is a serial port with a stange nonstandard pinning. I'll post it at the end of this article.The IN and OUT ports are for so-called HPIL peripherals. This is not the place to discuss all of them, but there were a HPIL Printer (Thinkjet, 2225B) and a Disk Station (9114 or the second revision: 9114B)There were also some interface converters to RS232, HPIB, GPIO,Sorry no, there was never an upgrade for the DOS.Here the plan for a homebuilt cable directly from my HPPP (portable plus) manual:HP name serial 25 pin(modem) 1 DTR -> 202 TxD -> 23 RxD 45 CTS
Yes, the DB9 port is non-standard. But in fairness to HP, keep in mind that there was no standard DB9 RS-232 serial port pinout at that time (I doubt there is now, so if you wish, the HP pinout is standard, and everyone else's since then is not).Stefan[ Return to Index Top of Index ]
R makes use of the # sign to add comments, so that you and others can understand what the R code is about. Just like Twitter! Comments are not run as R code, so they will not influence your result. For example, Calculate 3 + 4 in the editor on the right is a comment.
In its most basic form, R can be used as a simple calculator. Consider the following arithmetic operators: - Addition: + - Subtraction: - - Multiplication: * - Division: / - Exponentiation: ^ - Modulo: %%
The last two might need some explaining: - The ^ operator raises the number to its left to the power of the number to its right: for example 3^2 is 9. - The modulo returns the remainder of the division of the number to the left by the number on its right, for example 5 modulo 3 or 5 %% 3 is 2.
Every tasty fruit basket needs oranges, so you decide to add six oranges. As a data analyst, your reflex is to immediately create the variable my_oranges and assign the value 6 to it. Next, you want to calculate how many pieces of fruit you have in total. Since you have given meaningful names to these values, you can now code this in a clear way: my_apples + my_oranges
R works with numerous data types. Some of the most basic types to get started are: - Decimals values like 4.5 are called numerics. - Natural numbers like 4 are called integers. Integers are also numerics. - Boolean values (TRUE or FALSE) are called logical. - Text (or string) values are called characters.
On your way from rags to riches, you will make extensive use of vectors. Vectors are one-dimension arrays that can hold numeric data, character data, or logical data. In other words, a vector is a simple tool to store data. For example, you can store your daily gains and losses in the casinos.
You only played poker and roulette, since there was a delegation of mediums that occupied the craps tables. To be able to use this data in R, you decide to create the variables poker_vector and roulette_vector.
In the previous exercise, we created a vector with your winnings over the week. Each vector element refers to a day of the week but it is hard to tell which element belongs to which day. It would be nice if you could show that in the vector itself.
This code first creates a vector some_vector and then gives the two elements a name. The first element is assigned the name Name, while the second element is labeled Profession. Printing the contents to the console yields following output:
In the previous exercises you probably experienced that it is boring and frustrating to type and retype information such as the days of the week. However, when you look at it from a higher perspective, there is a more efficient way to do this, namely, to assign the days of the week vector to a variable!
How much has been your overall profit or loss per day of the week? Have you lost money over the week in total? Are you winning/losing money on poker or on roulette? To get the answers, you have to do arithmetic calculations on vectors.
Now you understand how R does arithmetic with vectors, it is time to get those Ferraris in your garage! First, you need to understand what the overall profit or loss per day of the week was. The total daily profit is the sum of the profit/loss you realized on poker per day, and the profit/loss you realized on roulette per day.
Based on the previous analysis, it looks like you had a mix of good and bad days. This is not what your ego expected, and you wonder if there may be a very tiny chance you have lost money over the week in total?
Calculate the total amount of money that you have won/lost with roulette and assign to the variable total_roulette. Now that you have the totals for roulette and poker, you can easily calculate total_week (which is the sum of all gains and losses of the week). Print out total_week.
Calculate total_poker and total_roulette as in the previous exercise. Use the sum() function twice. Check if your total gains in poker are higher than for roulette by using a comparison. Simply print out the result of this comparison. What do you conclude, should you focus on roulette or on poker?
To select multiple elements from a vector, you can add square brackets at the end of it. You can indicate between the brackets what elements should be selected. For example: suppose you want to select the first and the fifth day of the week: use the vector c(1, 5) between the square brackets. For example, the code below selects the first and fifth element of poker_vector:
Check which elements in poker_vector are positive (i.e. > 0) and assign this to selection_vector. Print out selection_vector so you can inspect it. The printout tells you whether you won (TRUE) or lost (FALSE) any money for each day.
Working with comparisons will make your data analytical life easier. Instead of selecting a subset of days to investigate yourself (like before), you can simply ask R to return only those days where you realized a positive return for poker.
In the previous exercises you used selection_vector 0 to find the days on which you had a positive poker return. Now, you would like to know not only the days on which you won, but also how much you won on those days.
Create the variable selection_vector, this time to see if you made profit with roulette for different days. Assign the amounts that you made on the days that you ended positively for roulette to the variable roulette_winning_days. This vector thus contains the positive winnings of roulette_vector.
In this chapter you will learn how to work with matrices in R. By the end of the chapter, you will be able to create matrices and to understand how you can do basic computations with them. You will analyze the box office numbers of Star Wars to illustrate the use of matrices in R. May the force be with you!
In R, a matrix is a collection of elements of the same data type (numeric, character, or logical) arranged into a fixed number of rows and columns. Since you are only working with rows and columns, a matrix is called two-dimensional.
In the editor, three vectors are defined. Each one represents the box office numbers from the first three Star Wars movies. The first element of each vector indicates the US box office revenue, the second element refers to the Non-US box office (source: Wikipedia).
To help you remember what is stored in star_wars_matrix, you would like to add the names of the movies for the rows. Not only does this help you to read the data, but it is also useful to select certain elements from the matrix.
Use colnames() to name the columns of star_wars_matrix with the region vector. Use rownames() to name the rows of star_wars_matrix with the titles vector. Print out star_wars_matrix to see the result of your work.
star_wars_matrix that we have used all along, with data on the first trilogy, star_wars_matrix2, with similar data for the second trilogy. Type the name of these matrices in the console and hit Enter if you want to have a closer look. If you want to check out the contents of the workspace, you can type ls() in the console.
Similar to vectors, you can use the square brackets [ ] to select one or multiple elements from a matrix. Whereas vectors have one dimension, matrices have two dimensions. You should therefore use a comma to separate that what to select from the rows from that what you want to select from the columns. For example:
As a newly-hired data analyst for Lucasfilm, it is your job is to find out how many visitors went to each movie for each geographical area. You already have the total revenue figures in all_wars_matrix. Assume that the price of a ticket was 5 dollars. Simply dividing the box office numbers by this ticket price gives you the number of visitors.
Just like 2 * my_matrix multiplied every element of my_matrix by two, my_matrix1 * my_matrix2 creates a matrix where each element is the product of the corresponding elements in my_matrix1 and my_matrix2.
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