標題: Titlebook: Beginning R; An Introduction to S Joshua F. Wiley,Larry A. Pace Book 2015Latest edition Larry Pace and Joshua Wiley 2015 [打印本頁] 作者: 削木頭 時間: 2025-3-21 16:40
書目名稱Beginning R影響因子(影響力)
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書目名稱Beginning R網(wǎng)絡(luò)公開度
書目名稱Beginning R網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Beginning R被引頻次學(xué)科排名
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書目名稱Beginning R讀者反饋
書目名稱Beginning R讀者反饋學(xué)科排名
作者: 修正案 時間: 2025-3-21 23:45 作者: Arrhythmia 時間: 2025-3-22 00:41 作者: Detonate 時間: 2025-3-22 04:37 作者: 不感興趣 時間: 2025-3-22 12:42
Chapter 6: Probability Distributions, random) to preface the function, so for the normal distribution, . returns the density, . returns the probability associated with an area under the curve, . returns the score associated with a given probability, and . produces the desired number of randomly generated scores from a normal distribution with a given mean and standard deviation.作者: Militia 時間: 2025-3-22 12:59 作者: milligram 時間: 2025-3-22 20:51 作者: 聯(lián)想 時間: 2025-3-23 00:39 作者: 胰島素 時間: 2025-3-23 04:36 作者: 變化無常 時間: 2025-3-23 08:36
Chapter 18: High-Performance Computing, that has .. Note that some of the code examples in this chapter may take some time to run. That is deliberate so it is both more realistic and starts to convey the "feel" of larger data. Making a typo can be more painful when it takes minutes or hours to get your result and you find out it is wrong and you have to run it again!作者: generic 時間: 2025-3-23 12:31 作者: 思想 時間: 2025-3-23 17:18 作者: 手工藝品 時間: 2025-3-23 19:10
IT-Sicherheitspolitik im Unternehmen,zation allows us to avoid loops in many situations. As you saw in ., looping is possible when it is needed. Efficient code allows us to automate as many tasks as we can so that we don’t repeat ourselves, and to avoid looping as much as possible.作者: judiciousness 時間: 2025-3-23 22:46
Chapter 5: Functional Programming,zation allows us to avoid loops in many situations. As you saw in ., looping is possible when it is needed. Efficient code allows us to automate as many tasks as we can so that we don’t repeat ourselves, and to avoid looping as much as possible.作者: gerrymander 時間: 2025-3-24 05:00
write your own custom statistical functions..Beginning R, Second Edition. is a hands-on book showing howto use the R language, write and save R scripts, read in data files, and writecustom statistical functions as well as use built in functions. This book showsthe use of R in specific cases such as作者: 小故事 時間: 2025-3-24 08:55
,Gefahren, Mitspieler & Merkwürdigkeiten,riginal format stored in an single unmanaged and unstructured location available to the entire organization. This flies in the face of the carefully structured and highly managed data most of us have come to know and love.作者: 不規(guī)則 時間: 2025-3-24 11:44
,Ma?nahmen: Validieren und Freigeben,e statistics faculty and other faculty members in various research fields who are working on the cutting edge of statistical applications. Add to this total the statistical innovators in government, business, the biomedical field, and other organizations. You get the picture.作者: Comedienne 時間: 2025-3-24 17:15
Vergleich der Begrifflichkeiten, predictors. Also as before, we save for other texts a focus on the behind-the-scenes mathematics; our goal is to conceptually explore the methods of using and understanding multiple regression. Having offered this caveat, however, doesn’t free us from taking just a little bit of a look at some of the math that power these types of models.作者: Sinus-Node 時間: 2025-3-24 21:26
Chapter 2: Dealing with Dates, Strings, and Data Frames,riginal format stored in an single unmanaged and unstructured location available to the entire organization. This flies in the face of the carefully structured and highly managed data most of us have come to know and love.作者: 有危險 時間: 2025-3-24 23:58
Chapter 10: Traditional Statistical Methods,e statistics faculty and other faculty members in various research fields who are working on the cutting edge of statistical applications. Add to this total the statistical innovators in government, business, the biomedical field, and other organizations. You get the picture.作者: TOM 時間: 2025-3-25 05:30
Chapter 14: Multiple Regression, predictors. Also as before, we save for other texts a focus on the behind-the-scenes mathematics; our goal is to conceptually explore the methods of using and understanding multiple regression. Having offered this caveat, however, doesn’t free us from taking just a little bit of a look at some of the math that power these types of models.作者: FLUSH 時間: 2025-3-25 09:40
,Gefahren, Mitspieler & Merkwürdigkeiten,hen behaving accordingly. A program is nothing more or less than a series of instructions telling a computer what to do. As I have mentioned, R is both functional and objected-oriented, so every R program consists of function calls that operate on objects.作者: Militia 時間: 2025-3-25 15:37
IT-Sicherheitspolitik im Unternehmen, random) to preface the function, so for the normal distribution, . returns the density, . returns the probability associated with an area under the curve, . returns the score associated with a given probability, and . produces the desired number of randomly generated scores from a normal distribution with a given mean and standard deviation.作者: 贊成你 時間: 2025-3-25 18:45
,Ma?nahmenziele und Ma?nahmen bearbeiten,r, supposing our eight samples are independent, is 1 – (.95). = 0.7621731 which is rather high. Analysis of variance (ANOVA) compares three or more means simultaneously, thereby controlling the error rate to the nominal 0.05.作者: harmony 時間: 2025-3-25 21:38 作者: Override 時間: 2025-3-26 03:47 作者: 附錄 時間: 2025-3-26 05:41 作者: 冷淡周邊 時間: 2025-3-26 11:15 作者: archetype 時間: 2025-3-26 16:22
Udo Bub,Klaus-Dieter Wolfenstettererts maintains the language. R is accurate, produces excellent graphics, has a variety of built-in functions, and is both a functional language and an object-oriented one. There are (literally) thousands of contributed packages available to R users for specialized data analyses.作者: 吞下 時間: 2025-3-26 17:59
,Ma?nahmenziele und Ma?nahmen bearbeiten,at once required laborious and error-prone hand calculations could be programmed into the computer, saving time and increasing accuracy. We have already used simulations for some demonstrations. In this chapter, we will discuss modern robust alternatives to the standard statistical techniques we discussed in ..作者: 姑姑在炫耀 時間: 2025-3-26 21:44
Udo Bub,Klaus-Dieter Wolfenstettererts maintains the language. R is accurate, produces excellent graphics, has a variety of built-in functions, and is both a functional language and an object-oriented one. There are (literally) thousands of contributed packages available to R users for specialized data analyses.作者: WAG 時間: 2025-3-27 03:27
,Gefahren, Mitspieler & Merkwürdigkeiten, computing and the creation of so-called data lakes, which are enterprise-wide data management platforms consisting of vast amounts of data in their original format stored in an single unmanaged and unstructured location available to the entire organization. This flies in the face of the carefully s作者: nominal 時間: 2025-3-27 07:30
,Gefahren, Mitspieler & Merkwürdigkeiten, category. The use of logic, conditional statements, and loops are all inherent in controlling the flow of a program. Although there are many different ways to write conditional statements, and loops, too, for that matter, they all boil down to testing to see if some condition is true or false and t作者: neutralize 時間: 2025-3-27 12:11 作者: 駕駛 時間: 2025-3-27 17:31
IT-Sicherheitspolitik im Unternehmen,ormal distribution, the . distribution, the . distribution, and the chi-square distribution. R uses a standardized method for naming the functions associated with each of these, so that it is easy to remember them. We use the letters . (for density), . (for probability), . (for quantile), and . (for作者: aesthetician 時間: 2025-3-27 21:21
,Ma?nahmen: Validieren und Freigeben,s. Each of those scholars must make an original contribution to the field of statistics, either in theory or in application. This is not to mention the statistics faculty and other faculty members in various research fields who are working on the cutting edge of statistical applications. Add to this作者: stress-test 時間: 2025-3-28 00:49 作者: 安裝 時間: 2025-3-28 02:32
,Ma?nahmenziele und Ma?nahmen bearbeiten,extend loops and . to run through many iterations. However, that is a proposition fraught with risk. For a given = 0.05, suppose we wish to compare mean staph infection rates for eight regional medical centers. Then there are . total pairwise comparisons. Thus, the chance of at least one Type I erro作者: LANCE 時間: 2025-3-28 07:56 作者: 撫慰 時間: 2025-3-28 12:13 作者: surrogate 時間: 2025-3-28 17:32
,Ma?nahmen: Validieren und Freigeben,ve a linear relationship. Buried in that assumption is the idea that these variables are .. However, what if the response variable is .? If it is binary, such as measuring whether participants are satisfied or not satisfied, we could perhaps dummy-code satisfaction as 1 and no satisfaction as 0. In 作者: 變化 時間: 2025-3-28 19:12
https://doi.org/10.1007/978-3-8348-9425-0e the reasons why such modern methods might be useful in a little depth. We have organized this chapter into three main parts. The first delves philosophically into the reasoning behind the need for these methods, while again avoiding as much mathematics as possible. The second section covers our fa作者: 是突襲 時間: 2025-3-29 00:16
Vergleich der Begrifflichkeiten,ore computations. We will talk a little about ways to deal with both in .. When people say . or . they can mean very different things. In this chapter we will not discuss processing terabytes of data or analyses that require large clusters. Instead, we only assume a fairly standard desktop or laptop作者: enflame 時間: 2025-3-29 03:14 作者: ablate 時間: 2025-3-29 11:14 作者: 艦旗 時間: 2025-3-29 14:42 作者: 植物茂盛 時間: 2025-3-29 17:59
978-1-4842-0374-3Larry Pace and Joshua Wiley 2015作者: habile 時間: 2025-3-29 20:27
IT-Sicherheitspolitik im Unternehmen,As a scripting language, R is perhaps not as flexible as Python or other languages, but as a statistical language, R provides all of the basic input and output capabilities that an average user is likely to need. In ., you will learn how to get data into R and how to get output from R in the form and format you desire.作者: 機械 時間: 2025-3-30 03:48
,Gefahren, Mitspieler & Merkwürdigkeiten,Tables are very useful for summarizing data. We can use tables for all kinds of data, ranging from nominal to ratio. In ., you will learn how to use tables to create frequency distributions and cross-tabulations as well as how to conduct chi-square tests to determine whether the frequencies are distributed according to some null hypothesis.作者: 走調(diào) 時間: 2025-3-30 06:53 作者: 蜈蚣 時間: 2025-3-30 10:29 作者: PHON 時間: 2025-3-30 16:15
,Ma?nahmen: Validieren und Freigeben,Throughout the book we used quite a few graphs to help you visualize and understand data, but we never went through them systematically. In this . chapter, we will show you how to make a number of different kinds of common graphs in R (most of which you have not seen yet, though for completeness we duplicate one or two).作者: 敏捷 時間: 2025-3-30 19:05
Chapter 3: Input and Output,As a scripting language, R is perhaps not as flexible as Python or other languages, but as a statistical language, R provides all of the basic input and output capabilities that an average user is likely to need. In ., you will learn how to get data into R and how to get output from R in the form and format you desire.作者: 執(zhí) 時間: 2025-3-30 23:12
Chapter 7: Working with Tables,Tables are very useful for summarizing data. We can use tables for all kinds of data, ranging from nominal to ratio. In ., you will learn how to use tables to create frequency distributions and cross-tabulations as well as how to conduct chi-square tests to determine whether the frequencies are distributed according to some null hypothesis.作者: GRAVE 時間: 2025-3-31 03:45 作者: Original 時間: 2025-3-31 08:30 作者: Judicious 時間: 2025-3-31 12:45
Chapter 17: Data Visualization Cookbook,Throughout the book we used quite a few graphs to help you visualize and understand data, but we never went through them systematically. In this . chapter, we will show you how to make a number of different kinds of common graphs in R (most of which you have not seen yet, though for completeness we duplicate one or two).作者: 大氣層 時間: 2025-3-31 15:59
,Chapter 1: Getting Star?ted,erts maintains the language. R is accurate, produces excellent graphics, has a variety of built-in functions, and is both a functional language and an object-oriented one. There are (literally) thousands of contributed packages available to R users for specialized data analyses.作者: synovitis 時間: 2025-3-31 19:26 作者: Gingivitis 時間: 2025-4-1 01:04 作者: 燈泡 時間: 2025-4-1 05:43 作者: 漂白 時間: 2025-4-1 08:48 作者: 有權(quán)威 時間: 2025-4-1 11:22
Chapter 5: Functional Programming,a way that the adjustments you need to make when the problem changes slightly are very small ones. It is better to use variables and even other functions in your code so that you can change a single value once rather than many times. This is the essence of the pragmatic programmer who writes with pu作者: BRINK 時間: 2025-4-1 15:32 作者: 急性 時間: 2025-4-1 18:31
Chapter 10: Traditional Statistical Methods,s. Each of those scholars must make an original contribution to the field of statistics, either in theory or in application. This is not to mention the statistics faculty and other faculty members in various research fields who are working on the cutting edge of statistical applications. Add to this
