First Note: R is the operating environment, Rstudio is the development tool. Rstudio is designed to facilitate the use of R language, he can facilitate the editing of code, debugging and graphics display. So you have to install R.In addition to see the other online tutorials have said the installation path to pure English, pay attention to the next. The general installation development environment is in the
0. Coordination of remote R scripts is required due to work relationships
1. register the username on GitHub and select create repository to create a repository.
2. GitHub shows:
Create a new repository on the command line
Touch readme. mdgit initgit add readme. mdgit commit-M "first commit" Git remote add OriginHttps://github.com/norsd/NDAP.gitGit push-u origin master Push an existing repository from the command line
Git remote add OriginHttps://github.com/norsd/NDAP.gitGit push-
Install R and RStudio Server on Ubuntu 16.04 LTSUbuntu 16.04 LTS installation R and RStudio Server1.R installation 1.1 first add the image source
# Ctrl + Alt + T open the terminal $ sudo gedit/etc/apt/sources. list # a text box is automatically displayed after you press enter to add a new image source, and then enter the deb http://cran.rstudio.com/bin/linux/ubuntu trusty/in a similar area/
You can also
Origin
R installation is complete, can't restrain, must write something to play.Then by the way during the use of the process, see what pits can be trampled, by the way record. Real Exercise
The first step, of course, is to enter the Rstudio, login process problems can be seen in a blog post.
The second step is to import the data. But when importing data, an error. Of course, just install sure there are all kinds of packages and environment not, so n
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[Translated from mos] explanation of histogram information and mos Article histogram Information
Interpreting histogram InformationSource:Interpreting Histogram Info (Doc ID 72539.1)
Applicable:Oracle Database-Enterprise Edition-Version 7.3.0.0 and laterOracle Database-Standard Edition-Version 7.3.0.0 and laterOracle
I. Using Rstudio to connect MySQL database
We often store a large amount of data in a database such as MySQL, so as to facilitate our data extraction and operation, and many times when we use R for data analysis, we usually want R to directly and MySQL database connection, so that we directly to the large-scale data processing. Of course, the data stored in MySQL is structured.
Some friends will encounter some problems when using R to connect database
Graphic histogram equalization and Python implementation, graphic histogram python
In the process of understanding the histogram equalization, I have referenced some books and blogs. What is confusing is that the author's understanding of the histogram remains on the surface and does not have a deep understanding of it
Image processing-similar image recognition (histogram application) and image processing Histogram
Algorithm Overview:
First, histogram data is collected for the source image and the image to be filtered, and then the respective image histograms are normalized.
Calculate the histogram data using the babacache coefficien
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Histogram equalization (histogram equalization)The "central idea" of histogram equalization is to change the gray histogram of the original image from a certain gray area in the comparative concentration to the uniform distribution in the whole gray range. Histogram equaliza
1 Grayscale Histogram
1.1 Concepts
Gray scale histogram is a function of gray level distribution, and it is the statistic of gray level distribution in image.
Grayscale histogram is the number of pixels in a digital image, according to the size of the gray value, the frequency of its occurrence. Gray-scale histogram i
Similar image search principle 3 (color histogram-c ++), image search Histogram
The color histogram of an image can be used for image retrieval. It can be used for image retrieval with the same color and with translation, scaling, and rotation immutability. Of course, these three features are not as stable as sift or surf, in addition, the biggest limitation is t
First, histogram equalizationHistogram equalization is an important application of gray-scale transformation, it is widely used in image enhancement processing, it is based on the cumulative distribution function transformation of the histogram correction method, can produce a gray scale distribution with uniform probability density of the image, expand the value dynamic range of the pixel. The gray value o
In the C programming language (version 2nd), there is an exercise that prints a horizontal or vertical histogram of the number of words, see page 17th. Now suppose we've got a count array of words.The horizontal histogram is simple to print, only two loops are required, and the number of times the outer loop executes is the array length. The inner loop is the size of each element of the array. Here's how:1/
Histogram of oriented gridients, abbreviated as HOG, is one of the most common features of image local texture in computer vision and Pattern recognition field. This characteristic name is also very straightforward, that is, to calculate the image of a region in different directions of the gradient values, and then accumulate, get the histogram, this histogram, i
Oracle histogram, Histogram
Histogram when the data distribution of a column is uneven, in order to allow CBO to generate the best execution plan, we may need to collect a histogram for the table. The maximum number of buckets in the histogram is 254. It is a very time-consu
Welcome to my blog www.vincentbel.com for viewing.
This is an algorithm problem on Leetcode, the following is my idea of solving this problem and the application of this problem. Topics
Largest rectangular area in a histogram
Given n non-negative integers representing the histogram's bar height where the width of each bar are 1, find the area of L Argest rectangle in the histogram.
Above is a
Given n non-negative integers representing the histogram ' s bar height where the width of each bar is 1, find the Area of largest rectangle in the histogram.Above is a histogram the where width of each bar is 1, given height = [2,1,5,6,2,3] .The largest rectangle is shown in the shaded area, and which has an area = 10 unit.For example,Given height = [2,1,5,6,2,3] ,Return 10 .This problem let straight squar
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