sapply r
那么,这是为什么呢?原因在于R的循环操作for和while,都是基于R语言本身来实现的,而向量操作是基于底层的C语言函数实现的,从性能上来看,就会有比较明显的差距了。那么如何使用C的函数来实现向量计算呢,就是要用到apply的家族函数,包括apply, sapply, tapply, mapply, lapply, rapply, vapply, eapply等。,資料分析經常需要運用for 迴圈反覆執行某項工作,然而R 程式中卻不可用太多的迴圈,否則會大大降低程式執行的效率!以紐約市空氣品質資料為例,其為包含六個變數的154 筆資料,以apply 函數可以輕易. , lapply, R, sapply. R语言中提供了一系列*apply()的函数,为数据分析中Split-Apply-Combine的策略提供了简洁方便的实现,这些函数的基本工作流程都是首先将数据按照某种规则划分(split)为较小的几部分,然后对各个部分应用(apply)某些操作,再将结果整合(combine)起来。关于Split-Apply-Combine策略的详细 ..., 樂高蓋大樓. 今天要介紹R 裡面的apply/ sapply/ lapply 等系列函數提供了另一種方式,真要說一句形容的話,那就像是用樂高蓋大樓的感覺,搭配 magritt package的pipe line 運算子 %>% ,這大樓可以蓋得很有型。詳細說明可以參考张丹(Conan)大神的部落格 http://blog.fens.me/r-apply/。,Sapply is equivalent to sapply , except that it preserves the dimension and dimension names of the argument X . It also preserves the dimension of results of the function FUN . It is intended for application to results e.g. of a call to by . Lapply is an , This is an introductory post about using apply, sapply and lapply, best suited for people relatively new to R or unfamiliar with these functions. There is a part 2 coming that will look at density plots with ggplot, but first I thought I would go on a ta, apply(). apply(m,dimcode,f,fargs). m 是一個矩陣。 dimcode是維度編號,取1則為對行應用函數,取2則為對列運用函數。 f是函數; fargs是f的可選參數集. > z <- matrix(1:6, nrow = 3) > f <- function(x) + x/c(2, 8) + } > apply(z,1,f) #f函數得到兩個元素,則為幾行,豎着來的[,1] [,2] [,3] [1,] 0.5 1.000 1.50 [2,, This is an introductory post about using apply, sapply and lapply, best suited for people relatively new to R or unfamiliar with these functions. There is a part 2 coming that will look at density plots with ggplot, but first I thought I would go on a ta, Datasets for apply family tutorial. For understanding the apply functions in R we use,the data from 1974 Motor Trend US magazine which comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models). dat, R中利用apply、tapply、lapply、sapply、mapply、table等函数进行分组统计_菜鸟的成长_新浪博客,菜鸟的成长,
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![]() sapply r 相關參考資料
掌握R语言中的apply函数族| 粉丝日志
那么,这是为什么呢?原因在于R的循环操作for和while,都是基于R语言本身来实现的,而向量操作是基于底层的C语言函数实现的,从性能上来看,就会有比较明显的差距了。那么如何使用C的函数来实现向量计算呢,就是要用到apply的家族函数,包括apply, sapply, tapply, mapply, lapply, rapply, vapply, eapply等。 http://blog.fens.me R軟體apply系列基本函數的運用@ R軟體閒話家常-教學、資料、統計 ...
資料分析經常需要運用for 迴圈反覆執行某項工作,然而R 程式中卻不可用太多的迴圈,否則會大大降低程式執行的效率!以紐約市空氣品質資料為例,其為包含六個變數的154 筆資料,以apply 函數可以輕易. http://cars2012.pixnet.net R语言中lapply()和sapply()的用法- nex3z's blog
lapply, R, sapply. R语言中提供了一系列*apply()的函数,为数据分析中Split-Apply-Combine的策略提供了简洁方便的实现,这些函数的基本工作流程都是首先将数据按照某种规则划分(split)为较小的几部分,然后对各个部分应用(apply)某些操作,再将结果整合(combine)起来。关于Split-Apply-Combine策略的详细 ... http://blog.nex3z.com R語言中apply sapply lapply 用法– MiluQ
樂高蓋大樓. 今天要介紹R 裡面的apply/ sapply/ lapply 等系列函數提供了另一種方式,真要說一句形容的話,那就像是用樂高蓋大樓的感覺,搭配 magritt package的pipe line 運算子 %>% ,這大樓可以蓋得很有型。詳細說明可以參考张丹(Conan)大神的部落格 http://blog.fens.me/r-apply/。 https://miluylin.wordpress.com Sapply function | R Documentation
Sapply is equivalent to sapply , except that it preserves the dimension and dimension names of the argument X . It also preserves the dimension of results of the function FUN . It is intended for appl... https://www.rdocumentation.org Shifting sands: Using apply, sapply, lapply in R
This is an introductory post about using apply, sapply and lapply, best suited for people relatively new to R or unfamiliar with these functions. There is a part 2 coming that will look at density pl... http://petewerner.blogspot.com R語言學習筆記(四):apply,sapply,lapply,tapply,vapply的用法- 掃文 ...
apply(). apply(m,dimcode,f,fargs). m 是一個矩陣。 dimcode是維度編號,取1則為對行應用函數,取2則為對列運用函數。 f是函數; fargs是f的可選參數集. > z <- matrix(1:6, nrow = 3) > f <- function(x) + x/c(2, 8) + } > apply(z,1,f) #f函... https://hk.saowen.com Using apply, sapply, lapply in R | R-bloggers
This is an introductory post about using apply, sapply and lapply, best suited for people relatively new to R or unfamiliar with these functions. There is a part 2 coming that will look at density pl... https://www.r-bloggers.com apply lapply rapply sapply functions in R | R-bloggers
Datasets for apply family tutorial. For understanding the apply functions in R we use,the data from 1974 Motor Trend US magazine which comprises fuel consumption and 10 aspects of automobile design a... https://www.r-bloggers.com R中利用apply、tapply、lapply、sapply、mapply、table等函数进行分组 ...
R中利用apply、tapply、lapply、sapply、mapply、table等函数进行分组统计_菜鸟的成长_新浪博客,菜鸟的成长, http://blog.sina.com.cn |