標(biāo)題: Titlebook: Data Wrangling with R; Bradley C. Boehmke, Ph.D. Book 2016 Springer International Publishing Switzerland 2016 R.data wrangling.data struct [打印本頁] 作者: Definite 時間: 2025-3-21 16:46
書目名稱Data Wrangling with R影響因子(影響力)
書目名稱Data Wrangling with R影響因子(影響力)學(xué)科排名
書目名稱Data Wrangling with R網(wǎng)絡(luò)公開度
書目名稱Data Wrangling with R網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Wrangling with R被引頻次
書目名稱Data Wrangling with R被引頻次學(xué)科排名
書目名稱Data Wrangling with R年度引用
書目名稱Data Wrangling with R年度引用學(xué)科排名
書目名稱Data Wrangling with R讀者反饋
書目名稱Data Wrangling with R讀者反饋學(xué)科排名
作者: neoplasm 時間: 2025-3-21 23:36
978-3-319-45598-3Springer International Publishing Switzerland 2016作者: AVOID 時間: 2025-3-22 02:00
Maryam Chinipardaz,Mehdi DehghanIn this chapter you will learn the basics of working with numbers in R. This includes understanding how to manage the numeric type (integer vs. double), the different ways of generating non-random and random numbers, how to set seed values for reproducible random number generation, and the different ways to compare and round numeric values.作者: 拱形面包 時間: 2025-3-22 05:49 作者: 終點(diǎn) 時間: 2025-3-22 11:15 作者: 辯論的終結(jié) 時間: 2025-3-22 13:27
Dealing with NumbersIn this chapter you will learn the basics of working with numbers in R. This includes understanding how to manage the numeric type (integer vs. double), the different ways of generating non-random and random numbers, how to set seed values for reproducible random number generation, and the different ways to compare and round numeric values.作者: 辯論的終結(jié) 時間: 2025-3-22 17:30
Data Structure BasicsPrior to jumping into the data structures, it’s beneficial to understand two components of data structures - the structure and attributes.作者: 碎片 時間: 2025-3-22 23:50
Dealing with Missing ValuesA common task in data analysis is dealing with missing values. In R, missing values are often represented by . or some other value that represents missing values (i.e. .). We can easily work with missing values and in this chapter I illustrate how to test for, recode, and exclude missing values in your data.作者: 虛度 時間: 2025-3-23 04:47
https://doi.org/10.1007/978-3-319-59767-6 In spite of advances in technologies for working with data, analysts still spend an inordinate amount of time obtaining data, diagnosing data quality issues and pre-processing data into a usable form. Research has illustrated that this portion of the data analysis process is the most tedious and ti作者: BLAND 時間: 2025-3-23 09:15 作者: 連詞 時間: 2025-3-23 09:58
Xu Huang,Muhammad Ahmed,Dharmendra Sharmamping into a new programming language correlates to visiting a foreign country with only that ninth grade Spanish 101 class under your belt; there is no better way to learn than to immerse yourself in the environment! Although it’ll be painful early on and your nose will surely bleed, eventually you作者: synovium 時間: 2025-3-23 15:35 作者: Dedication 時間: 2025-3-23 21:18 作者: Chagrin 時間: 2025-3-24 01:43 作者: 好開玩笑 時間: 2025-3-24 03:52
Populating and Maintaining the Route Tabley in formats and accounting for time-zone differences and leap years. R has a range of functions that allow you to work with dates and times. Furthermore, packages such as . make it easier to work with dates and times.作者: Mendacious 時間: 2025-3-24 06:49 作者: 詼諧 時間: 2025-3-24 13:47
Partho P. Mishra,Satish K. Tripathiuts are provided as a list as well; therefore, its critical to understand how to work with lists. In this chapter I will illustrate how to create lists, add additional elements to pre-existing lists, add attributes to lists, and subset lists.作者: Adj異類的 時間: 2025-3-24 16:44
Pravin Bhagwat,Satish K. Tripathiistent mode (i.e. all elements must be numeric, or character, etc.). Therefore, a matrix can be thought of as an atomic vector with a dimension attribute. Furthermore, all rows of a matrix must be of same length. In this chapter I will illustrate how to create matrices, add additional elements to pr作者: 神圣將軍 時間: 2025-3-24 20:54
D. N. Ranasinghe,W. A. Gray,A. M. Davidsonta frame is a list of equal-length vectors. Each element of the list can be thought of as a column and the length of each element of the list is the number of rows. As a result, data frames can store different classes of objects in each column (i.e. numeric, character, factor). In essence, the easie作者: 輕快帶來危險 時間: 2025-3-25 01:12 作者: corpus-callosum 時間: 2025-3-25 06:09 作者: 恩惠 時間: 2025-3-25 08:31 作者: LAPSE 時間: 2025-3-25 14:37 作者: sinoatrial-node 時間: 2025-3-25 16:27 作者: 寄生蟲 時間: 2025-3-25 21:51
Atoosa Dalili Shoaei,Siavash Khorsandially, regex patterns consist of a combination of alphanumeric characters as well as special characters. The pattern can also be as simple as a single character or it can be more complex and include several characters.作者: 新陳代謝 時間: 2025-3-26 02:58
Computer Networks and the Internetthe most important uses of factors is in statistical modeling; since categorical variables enter into statistical models such as . and . differently than continuous variables, storing data as factors insures that the modeling functions will treat such data correctly.作者: 門閂 時間: 2025-3-26 07:48
Populating and Maintaining the Route Tabley in formats and accounting for time-zone differences and leap years. R has a range of functions that allow you to work with dates and times. Furthermore, packages such as . make it easier to work with dates and times.作者: 執(zhí) 時間: 2025-3-26 09:05
Mobile Computing: A Research Perspectiveles illustrated in the previous section are considered vectors. In this chapter I will illustrate how to create vectors, add additional elements to pre-existing vectors, add attributes to vectors, and subset vectors.作者: 兇猛 時間: 2025-3-26 15:31
Partho P. Mishra,Satish K. Tripathiuts are provided as a list as well; therefore, its critical to understand how to work with lists. In this chapter I will illustrate how to create lists, add additional elements to pre-existing lists, add attributes to lists, and subset lists.作者: patriot 時間: 2025-3-26 18:35
Introduction to Rd Gentleman 1996) outlining their experience of designing and implementing the R software. It’s safe to say this remains the essence of what R is; however, it’s tough to encapsulate such a diverse programming language into a single phrase.作者: flammable 時間: 2025-3-26 21:20
Dealing with Regular Expressionsally, regex patterns consist of a combination of alphanumeric characters as well as special characters. The pattern can also be as simple as a single character or it can be more complex and include several characters.作者: Excise 時間: 2025-3-27 03:06
Dealing with Factorsthe most important uses of factors is in statistical modeling; since categorical variables enter into statistical models such as . and . differently than continuous variables, storing data as factors insures that the modeling functions will treat such data correctly.作者: deforestation 時間: 2025-3-27 05:49 作者: overbearing 時間: 2025-3-27 09:27 作者: Pelago 時間: 2025-3-27 16:43 作者: slipped-disk 時間: 2025-3-27 20:19
The Role of Data Wrangling In spite of advances in technologies for working with data, analysts still spend an inordinate amount of time obtaining data, diagnosing data quality issues and pre-processing data into a usable form. Research has illustrated that this portion of the data analysis process is the most tedious and ti作者: vitreous-humor 時間: 2025-3-28 01:28 作者: majestic 時間: 2025-3-28 05:14 作者: embolus 時間: 2025-3-28 09:37 作者: 離開就切除 時間: 2025-3-28 14:14 作者: 競選運(yùn)動 時間: 2025-3-28 17:00
Dealing with Factorsthe most important uses of factors is in statistical modeling; since categorical variables enter into statistical models such as . and . differently than continuous variables, storing data as factors insures that the modeling functions will treat such data correctly.作者: Facet-Joints 時間: 2025-3-28 18:54
Dealing with Datesy in formats and accounting for time-zone differences and leap years. R has a range of functions that allow you to work with dates and times. Furthermore, packages such as . make it easier to work with dates and times.作者: Traumatic-Grief 時間: 2025-3-29 01:14
Managing Vectorsles illustrated in the previous section are considered vectors. In this chapter I will illustrate how to create vectors, add additional elements to pre-existing vectors, add attributes to vectors, and subset vectors.作者: EXCEL 時間: 2025-3-29 06:44 作者: Eviction 時間: 2025-3-29 07:17
Managing Matricesistent mode (i.e. all elements must be numeric, or character, etc.). Therefore, a matrix can be thought of as an atomic vector with a dimension attribute. Furthermore, all rows of a matrix must be of same length. In this chapter I will illustrate how to create matrices, add additional elements to pr作者: 易碎 時間: 2025-3-29 11:25 作者: PALSY 時間: 2025-3-29 19:13
Importing Data This chapter covers how to import data into R by reading data from common text files and Excel spreadsheets. In addition, I cover how to load data from saved R object files for holding or transferring data that has been processed in R. In addition to the commonly used base R functions to perform da作者: 我不明白 時間: 2025-3-29 20:55
Managing Data Framesst way to think of a data frame is as an Excel worksheet that contains columns of different types of data but are all of equal length rows. In this chapter I will illustrate how to create data frames, add additional elements to pre-existing data frames, add attributes to data frames, and subset data frames.作者: 窗簾等 時間: 2025-3-30 03:39
2197-5736 analyzing, and presenting data via a step-by-step tutorial .This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of inform作者: indecipherable 時間: 2025-3-30 05:32
Xu Huang,Muhammad Ahmed,Dharmendra Sharmano better way to learn than to immerse yourself in the environment! Although it’ll be painful early on and your nose will surely bleed, eventually you’ll learn the dialect and the quirks that come along with it.作者: FIN 時間: 2025-3-30 08:16
Hamid Tabani,Mahmoud Reza Hashemiaracter strings is becoming a prerequisite in daily data analysis. This chapter is meant to give you the foundation of working with characters by covering some basics followed by learning how to manipulate strings using base R functions along with using the simplified package.作者: Dictation 時間: 2025-3-30 13:10 作者: poliosis 時間: 2025-3-30 17:12
Romain Guiet,Olivier Burri,Arne Seitzom saved R object files for holding or transferring data that has been processed in R. In addition to the commonly used base R functions to perform data importing, I will also cover functions from the popular ., ., and . packages.作者: 舞蹈編排 時間: 2025-3-30 20:44
The Basicsno better way to learn than to immerse yourself in the environment! Although it’ll be painful early on and your nose will surely bleed, eventually you’ll learn the dialect and the quirks that come along with it.
