R language decentralization

1. SS is the sum of squares of deviation, MS is the mean square, f is the F statistic, P is the significance probability, s is the variance, RSQ is the R square, which is the measurement coefficient
the important results in regression analysis are the significance of regression coefficient (see the corresponding p value and beta value of regression coefficient) and the measurement coefficient of independent variable (R-square).

2. Real element K_ end,k_ start,uz_ UZ in int_ Int is not set to real * 8 in the common block, but the corresponding mmy s in
subroutine is set to real * 8, which may be the reason for inconsistency I don't know you put UZ_ What is int set to?)
and then
kxy_ integral(k_ end,k_ start,uz_ Int)
should be
call
kxy_ integral(k_ end,k_ start,uz_ int)

3. The table() function can't be used. It can only be used in the wrong way to see if there is an error in parameter passing. It's better to take a screenshot of the code to analyze the cause of the error.

4. I have a word for you,

5.

1. CT means telecommunication

communication technology (abbreviated as CT), also known as communication engineering (also known as information engineering, telecommunication engineering, formerly known as long-distance communication engineering, weak current engineering), is an important branch of electronic engineering, but also one of the basic disciplines

It means informatization

Information Technology (abbreviated as it) is the general term of various technologies mainly used for managing and processing information. It mainly applies computer science and communication technology to design, develop, install and implement information system and application software. It is also often referred to as information and communication technology. It mainly includes sensing technology, computer and intelligence technology, communication technology and control technology

extended data

People's definition of information technology varies with its purpose, scope and level:

1. Any technology that can expand people's information function can be called information technology

Information technology includes communication, computer and computer language, computer games, electronic technology, optical fiber technology, etc

Modern information technology is characterized by computer technology, microelectronics technology and communication technology

Information technology refers to the general term of the methods and equipment used to acquire, process, store, transform, display and transmit text, numerical value, image and sound information, including providing equipment and information services, supported by computer and communication technology

Information technology is a purposeful combination of the experience, knowledge and skills accumulated by human beings in the process of understanding and transforming nature in the struggle of proction and scientific experiments, such as acquiring information, transmitting information, storing information, processing information and standardizing information, and the labor materials embodying these experiences, knowledge and skills

Information technology is the general term of the relevant methods, means and operating proceres for the management, development and utilization of information resources

Information technology refers to a kind of technology that can expand the function of human information organs

Information technology refers to the training methods and management skills of science, technology and engineering applied in information processing and processing; The application of the above methods and techniques; Computers and their interactions with people and computers, and the social, economic and cultural things corresponding to people. "

Information technology includes all aspects in the process of information transmission, such as information generation, collection, exchange, storage, transmission, display, identification, extraction, control, processing and utilization

Information technology is a technology that studies how to obtain, process, transmit and use information

6. Double click on the remade graph to see a circle with a dot in the middle. Press the left mouse button and drag it to the place you want. If it's right below, it's simpler. Just release the mouse when you see the "Midpoint" prompt. I hope it will help you. As for your supplementary question, double-click the figure to be transformed. The eight small squares around the figure become arrows. Press the left key to rotate to a proper angle. Press the right key without releasing the left key, and then release the left key. If you want to multiple graphics and rotate the , you can do it with the harmony function.

7.

1、 Method 1: close the "office Upload Center startup item" with 360

1. If 360 security guard is installed, open it and select the "startup item" tab

2. Find "Microsoft Office synchronizer", click "disable startup", and then click "one key optimization" to stop it from starting automatically

2. Method 2: do not check "office Upload Center startup item"

1. Select "start" → run in turn, enter msconfig enter, and open the "system configuration" window

2. Select the "start" tab, remove the tick in front of msouc.exe and confirm

prompt: if msouc.exe cannot be found in "startup of system configuration", this method is not applicable

3. Close

1 in the registry, select "start" → run (or win + R), enter regedit and enter to open the registry editor

2. Locate to HKEY_ CURRENT_

3. Find msouc.exe and delete it

4. Do not install Office 2010 (2013) tools

1. Office Upload Center is in office tools, which can be installed without installation

2. If it has been installed, you can remove the office tools through "add or remove functions", the steps are as follows:

< 1) select "start" → control panel → program → program and function in turn, and open "uninstall and change program window"

2) find Microsoft office, right-click and select "change", as shown in Figure 1:

8. If a has no acid and can not be hydrolyzed, there is no ester group and carboxyl group in A. if a can undergo silver mirror reaction, there is aldehyde group in A. if a can undergo elimination reaction, there is alcohol hydroxyl group in A. if a can undergo elimination reaction, there is a methyl and carbon double bond in B. then the structural formula of B is: ch < sub > 3 < / sub > ch = CHCHO, and a will undergo elimination reaction under certain conditions, It is possible to obtain two procts which are isomers, then the structure of a is as follows: ch < sub > 3 < / sub > CH (OH) ch < sub > 2 < / sub > CHO, the isomer of a can be hydrolyzed, which indicates that the isomer of a contains ester group, only B contains ester group, < br > so B is selected

9. In 2012, we said r was the mainstream in academia, but now Python is slowly replacing r in academia. I don't know if it's because of the big data era

Python is faster than R. Python can process the data of G directly; R can't do it. When R analyzes data, it needs to convert big data into small data (through groupby) through the database before it can be handed over to R for analysis. Therefore, R can't directly analyze behavior details, it can only analyze statistical results. So it's not unreasonable for someone to say: python = R + SQL / hive

one of the most obvious advantages of Python is its glue language features, which will be mentioned in many books. Some algorithms written in C at the bottom are very efficient after being encapsulated in Python package
(decision tree analysis in Python's data mining package orange canve
shows that 500000 users can get results in 10 seconds, but they can't get results in a few hours with R, and 8g memory is full). However, everything is not absolute. If R vector quantization programming is well done (a little difficult), it will
significantly improve the speed of R and the length of the program

the advantage of R is that there are all kinds of statistical functions that can be called, especially in the aspect of time series analysis, both classical and cutting-edge methods have corresponding packages that can be used directly
in contrast, python has been poor in this area before. But now Python has
pandas. Pandas provides a set of standard time series processing tools and data algorithms. Therefore, you can efficiently process very large time series, such as slicing / slicing, aggregating, resampling regular
/ irregular time series, etc. As you may have guessed, most of these tools are particularly useful for financial and economic data, but you can also use them to analyze server log data. Therefore, in recent years, python has become a major alternative to data processing e to its continuously improved libraries (mainly pandas)< Several experiments have been done:
1. A statistical method is implemented with Python, in which ctypes and multiprocess are used
later, a project needs to do method comparison and use r again. It is found that some packages on bioconnector already use parallel by default But that package is still very slow, all threads are used up at once, which makes the whole computer unable to use, and it is very difficult to read web pages ~)
2. Using Python panda to do some data collation work, similar to database, two or three tables are checked and matched back and forth. I think it's very convenient. Although R can do these jobs, it is estimated that it will be slower. After all, there are hundreds of thousands of lines of items
3. Draw with Python Matplotlib. There is a big difference between pyplot and R. R is a command to draw East and West, and pylot comes out together when it is ready. The color selection of pyplot is a bit awkward, the default color is less, and then the HTML color can be used, but the name is too long ~. The legend of pyplot
is much easier to use than R, which is semi-automatic. Pyplot can be drawn and zoomed freely, and then saved as an image, which is easier to use than R

in general, Python is a relatively balanced language, which can be used in all aspects. Whether it is the call to other languages, the connection and reading of data sources, the operation of the system, or regular expression and text processing, python has obvious advantages
R is more prominent in statistics. However, data analysis is not just about statistics, data collection, data processing, data sampling, data clustering, complex data mining algorithms, data modeling, etc.
R is not competent for all these tasks as long as the data is more than 100m, but Python is basically competent

combined with its powerful power in general programming, we can only use Python to build data centric applications
but there is no best software or program in the world, and few people can use single language mining to the extreme. In particular, many people learned r earlier, but now they don't want to use it at all. For those who want to apply what they have learned, it would be better to combine R with Python

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