Your request is not clear. If you want to analyze the numeric variables by the groups formed by the categorical variables, try something like this.

# Create reproducible data

set.seed(42)

x <- data.frame(matrix(rnorm(75, 5), 25), X4=sample(0:1, 25,

+ replace=TRUE), X5=sample(0:1, 25, replace=TRUE))

head(x)

X1 X2 X3 X4 X5

1 6.370958 4.569531 5.321925 1 0

2 4.435302 4.742731 4.216161 0 1

3 5.363128 3.236837 6.575728 1 1

4 5.632863 5.460097 5.642899 0 1

5 5.404268 4.360005 5.089761 1 1

6 4.893875 5.455450 5.276551 1 1

# Use split() to create a list of data frames

grps <- apply(x[, 4:5], 1, paste0, collapse="")

x.grps <- split(x[, 1:3], grps)

names(x.grps)

[1] "00" "01" "10" "11"

x.grps[["00"]] # or x.grps[[1]]

X1 X2 X3

8 4.905341 6.035104 5.089833

9 7.018424 4.391074 2.006910

14 4.721211 2.585792 6.399737

16 5.635950 5.205999 6.302543

18 2.343545 5.758163 6.038506

19 2.559533 4.273295 5.920729

20 6.320113 3.631719 5.720878

23 4.828083 6.444101 5.623518

-------------------------------------

David L Carlson

Department of Anthropology

Texas A&M University

College Station, TX 77840-4352

-----Original Message-----

From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of PIKAL Petr

Sent: Friday, June 17, 2016 9:24 AM

To: Gafar Matanmi Oyeyemi; r-help at r-project.org

Subject: Re: [R] Obtaining and extracting cells sample in cross-tabulation

Hi

did you try table or xtabs?

Cheers

Petr

-----Original Message-----

From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Gafar

Matanmi Oyeyemi

Sent: Friday, June 17, 2016 2:25 PM

To: r-help at r-project.org

Subject: [R] Obtaining and extracting cells sample in cross-tabulation

Hello everyone,

I'm writing a function in R but was stalked.

I have a data set that contains mixture of categorical and continuous

variables. I want to use the categorical variables to cross-tabulate the data

and extract the observations in the resulting cells that contain only

continuous variables.

Data.

X1 X2 X3 X4 X5

2.4 5.3 4.8 0 1

4.2 3.2 4.8 1 1

3.3 4.4 5.1 0 0

5.2 1.1 2.5 1 0

.

.

.

3.7 2.8 3.8 0 1

Thanks.

[[alternative HTML version deleted]]

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