Your quickest way to learn about R is to use the manual pages that are included
with your installation. Typing the command ?cor produces a page with the
following information:
x a numeric vector, *matrix* or *data frame*.
y NULL (default) or a vector, *matrix* or *data frame* with compatible
dimensions to x. The default is equivalent to y = x (but more efficient).
In other words cor(x, y) gives you the correlations between x (rows) and y
(columns).
Descriptive statistics can be found in many packages and each organizes the
material differently. In addition to aggregate() which makes it possible to put
multiple variables on a single row, you might look at numSummary() in package
RcmdrMisc if you want a single variable on each row:
library(RcmdrMisc)
data(iris)
options(digits=3)
numSummary(iris[, 1:4], statistics=c("mean", "sd"))
mean sd n
Sepal.Length 5.84 0.828 150
Sepal.Width 3.06 0.436 150
Petal.Length 3.76 1.765 150
Petal.Width 1.20 0.762 150
numSummary(iris[, 1:4], statistics=c("mean", "sd"), groups=iris$Species)
Variable: Sepal.Length
mean sd n
setosa 5.01 0.352 50
versicolor 5.94 0.516 50
virginica 6.59 0.636 50
Variable: Sepal.Width
mean sd n
setosa 3.43 0.379 50
versicolor 2.77 0.314 50
virginica 2.97 0.322 50
Variable: Petal.Length
mean sd n
setosa 1.46 0.174 50
versicolor 4.26 0.470 50
virginica 5.55 0.552 50
Variable: Petal.Width
mean sd n
setosa 0.246 0.105 50
versicolor 1.326 0.198 50
virginica 2.026 0.275 50
---------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77843-4352
-----Original Message-----
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of PIKAL Petr
Sent: Tuesday, March 6, 2018 7:10 AM
To: faiz rasool <fai...@gmail.com>; r-help@r-project.org
Subject: Re: [R] couple of how-to-do it in R questions regarding corelations
and mean and SD of likert items
Hi
For first question, maybe I am completely wrong but
cor(swiss[,-1], swiss[,1])
should give you what you want in one step.
Second question
Without an example it is hard to say but maybe aggregate is the way forward.
> aggregate(iris[,1:4], list(iris$Species), function (x) c(mean=mean(x),
> sd=sd(x)))
Group.1 Sepal.Length.mean Sepal.Length.sd Sepal.Width.mean Sepal.Width.sd
1 setosa 5.0060000 0.3524897 3.4280000 0.3790644
2 versicolor 5.9360000 0.5161711 2.7700000 0.3137983
3 virginica 6.5880000 0.6358796 2.9740000 0.3224966
Cheers
Petr
> -----Original Message-----
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of faiz
> rasool
> Sent: Tuesday, March 6, 2018 1:04 PM
> To: r-help@r-project.org
> Subject: [R] couple of how-to-do it in R questions regarding
> corelations and mean and SD of likert items
>
> Dear list, I have the following how-to-do it in R, questions.
>
> Suppose I have ten independent variables, and one dependent variable.
> I want to find the Pearson correlation of all the IVs with the DV, but
> not the correlation between the IVs.
>
> What I know so far, about R, that I have to type the cor () function
> ten times, each time requesting for a correlation between one IV and the DV.
>
> I was wondering that is there a way that I can accomplish what I want
> with a single function or a fewer line of codes.
>
> My final goal is to create a table in Microsoft word comprising of ten
> rows, each row for each independent variable and its correlation with the DV.
>
> Based on what I know, I’ll be typing cor (IV,,DV), ten times, and then
> typing the values in the table in MS Word.
>
>
> Secondly, I would like to create a table that provides the details of
> means and standard deviations, of multiple variables.
>
> The variables are ratings scores of likert type items. What I’d
> like to do is to construct a table, where each row has the question,
> its mean and standard deviation. I know that using the psych package,
> I can have the mean of each item in the scale, but, how to develop a
> table that has the item, mean, and SD on a same row? I do not know.
>
> Thank you for reading my questions.
>
> Regards,
> Faiz.
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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