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Ddply transform

WebR GG基于组和相同长度绘制带百分比的条形图,r,ggplot2,R,Ggplot2,我允许自己从中获取数据和代码,因为我的问题相似,但有一点不同 我的数据框是 df = read.table(text = " id year type amount 1 1991 HIIT 22 2 1991 inter 144 3 1991 VIIT 98 4 1992 HIIT 20 5 1992 inter 136 6 1992 VIIT 108 7 1993 HIIT 20 8 1993 inter Web使用Likert软件包绘制百分比-分组时不起作用,r,R,我已经使用Likert软件包创建了一些图表,但是当我按组创建绘图时,plot.percents=TRUE不会为每个响应类别提供标签。

plyr: Split-Apply-Combine for Mortals - An introduction to the plyr …

WebJan 26, 2024 · The last part, ddply runs very slow especially with many columns generated. Question, any other options/suggestion to optimize it? and how to apply across all tailing columns? r Web下面是我使用基本包构建的一个函数,它支持多个分层因子,表示为希望作为分层的字段的列号或列名(mtcars数据集示例)。我认为它在功能上与ddply非常相似,只是您也可以使用列号,并且生成的子集在列表中给出: prove that sin -1 x+cos -1 x pi / 2 https://joshtirey.com

Optimizing/alternative ddply, transform, and na.omit

WebR 按组计算连续行中的值之间的差异,r,R,这是我的df(data.frame): 我需要按组计算连续行中的值之间的差异 所以,我需要一个结果 group value diff 1 10 NA # because there is a no previous value 1 20 10 # value[2] - value[1] 1 25 5 # value[3] value[2] 2 5 NA # because group is changed 2 10 5 Web对绘制热图的数据标准化处理: 因为原始数据不同变量的值的数量级和范围是不一样的,而我们需要在一张热图里面将所有的值可视化,因此需要先对数值进行标准化,而且是根据相同变量(variable)内的一组值(value)分别进行标准化处理。. 一般有两种方式标准化: WebRather than going through all the tapply and additional steps, here's a faster way: dt<-data.frame (location=rep (letters [1:2],each=4),time=rep (1:4,2),var=rnorm (8)) lg<-function (x)c (NA,x [1: (length (x)-1)]) dt$lg <- … restaurant crystal clean glass cleaner

ddply function - RDocumentation

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Ddply transform

R Plyr - Ordering results from DDPLY? - Stack Overflow

http://duoduokou.com/r/66088745648416960539.html WebNov 19, 2013 · Group-wise transformation compute the rank of a name within a sex and year (e.g. boy &amp; 2008)? ... array dataFrame list array aaply adply alply dataFrame daply …

Ddply transform

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WebJan 27, 2014 · Hadley's ggplot2 book has this example for ddply and subset but it's not actually sorting the output, just selecting the two smallest diamonds per group. ddply (diamonds, . (color), subset, order (carat) &lt;= 2) plyr Share Improve this question Follow edited Mar 27, 2013 at 12:21 Matt Dowle 58.4k 22 165 224 asked Apr 30, 2011 at 3:24 … http://duoduokou.com/r/66087796750026568596.html

http://felixfan.github.io/plyr/ WebDescription Summarise works in an analogous way to mutate, except instead of adding columns to an existing data frame, it creates a new data frame. This is particularly useful in conjunction with ddplyas it makes it easy to perform group-wise summaries. Usage summarise(.data, ...) Arguments .data the data frame to be summarised

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WebNov 7, 2013 · ddply is the workhorse, the split and the function to compute the growth rate is defined by parameters to this function. Share Improve this answer Follow answered Nov 6, 2013 at 23:04 krlmlr 24.6k 14 117 209 1 you beat me by 12 seconds. I like my geometric-mean ( diff (log (x))) approach, but yours works too. – Ben Bolker Nov 6, 2013 at 23:05

WebOct 24, 2013 · ddply (mtcars,. (cyl),transform,freq=length (cyl),sum=sum (mpg)) DT [,list (freq=.N,sum=sum (mpg)),by=cyl] But, data.table gives me only three columns cyl,freq, and sum. Well, I can do like this: DT [,list (freq=.N,sum=sum (mpg),mpg,disp,hp,drat,wt,qsec,vs,am,gear,carb),by=cyl] restaurant crying tiger parisWebSep 28, 2011 · This weighting factor has to be derived for each combination of site and date. The approach I'm using is to first built a function that calculate the weigthing factor: > weight <- function (dil) { dil/sum (dil) } then apply the function for each combination of site and date > df$wt <- ddply (df,. (date,site),.fun=weight) prove that sin2x+2sin4x+sin6x 4 cos 2x sin 4xWebI am trying to use ddply with transform to populate a new variable (summary_Date) in a dataframe with variables ID and Date.The value of the variable is chosen based on the length of the piece that is being evaluated using ifelse: . If there are less than five observations for an ID in a given month, I want to have summary_Date be calculated by … restaurant curry base sauceWebddply function - RDocumentation (version 1.8.8 ddply: Split data frame, apply function, and return results in a data frame. Description For each subset of a data frame, apply function then combine results into a data frame. To apply a function for each row, use adply with .margins set to 1. Usage restaurant cutting board replacementWebDec 12, 2014 · df.ddply = ddply (df, c ('name'), transform, counter=length (df [df ['var']>0, 'var'])) The reason why I would like to use the length function here is because the values for the var column can be from 0-9. This is the output from the above line: name counter 1 alan 6 2 albert 6 3 alvin 6 Am I missing something here? restaurant customer survey formWebMay 2, 2024 · If njobs = 1, a call to plyr::ddply is made without parallelization, and anything supplied to .paropts is ignored. See the documentation for plyr::ddply for additional details. Value The object data frame returned by plyr::ddply See Also plyr::ddply Examples Smisc documentation built on May 2, 2024, 2:46 a.m. restaurant cup washing machineWebddply is the most commonly used format. As the first 2 letters indicate, ddply takes an existing dataframe, splits it apart, extracts some information from it, and either makes a … prove that sin cos 1 1 sin cos 1 sec tan