[R] Error: vector memory exhausted (limit reached?)

[Olivia Keefer]

Apologies. First time posting and new to R so a lot of learning. Hope my attachments are helpful now. 


#This loads the required package. Always select UK Bristol as a CRAN MIRROR / LOCATION
#1. Highlight the below code and run (3rd icon or right click)

require(relaimpo)
install.packages('relaimpo',dep=TRUE)
install.packages('iterators')
install.packages('foreach')

#2. Change directory to where all files are and change back slash to forward slash 

setwd('/Users/okeefer/Documents/Regressions')



#Once final SPSS file is created save it as a CSV in same location. 
#4. Below code opens the original file with data at respondent level. Update the name of data file only. 

OrigData = read.csv("BB HTTF stacked B1, B3, B5, B6, C9 + FILTERED.csv")

#5. <Run below code to bottom do not need to change anything 
#Shows all the variables names of the dataset

names(OrigData)

#Shows all the dimensions and class of the dataset

dim(OrigData)
class(OrigData)

#Creates a data frame

categorydata<- as.data.frame(OrigData)

#Shows all the variables & class from the newly created variable

names(categorydata)
class(categorydata)

#Makes the object accessible

attach(categorydata)

#>


######BRAND PERFORMANCE ADVOCACY (B5)####

#Runs a standard linear regression. Update predictor and outcome variables. The variable names only. 
#First variable is Dependent variable. Ensure a + sign is between all independent variables. Ensure there is a space before and after +

linmod4 <- lm( B5 ~ B6_1 + B6_2 + B6_3 + B6_4 + B6_5 + B6_6 + B6_7 + B6_8 + B6_9 + B6_10 + B6_11 + B6_12 + B6_13 + B6_14 + B6_15 + B6_16 + B6_17 + B6_18 + B6_19 + B6_20 + B6_21 + B6_22 + B6_23 + B6_24 + B6_25 + B6_26 + B6_27 , data= categorydata)

#Runs Shapley Value Regression with all the coefficients set to sum a hundred

f4 <-calc.relimp(linmod4,type = c("lmg","first","last"), rela = TRUE)

Coefficient4 = f4$lmg
Rsq4 = f4$R2
Proportion4 = Coefficient4 * Rsq4

### Display CoEfficients

Coefficient4

### Display R-Sq

Rsq4

### Proportion of Model Explained by variable. Change file name to reflect project
Proportion4

Results4 = cbind(Coefficient4,Proportion4,Rsq4)
write.csv(Results4, file = "bb_HTTF_performance_advocacy.csv")


Olivia Keefer
Insights Analyst
she/her/hers
 
Monigle
575 8th Avenue
Suite 1716
New York, NY 10018
M 740.701.2163
okeefer using monigle.com
www.monigle.com <http://www.monigle.com/>
linkedin <http://www.linkedin.com/company/monigle/>| twitter <https://twitter.com/Monigle>| monigle blog <http://www.monigle.com/blog/>
 

 

On 11/24/21, 2:59 AM, "Rui Barradas" <ruipbarradas using sapo.pt> wrote:

    Hello,

    You ask a question on a certain regression that exhausts vector memory
    but don't post the regression(s) code (and data, btw).
    And load package relaimpo before installing it.

    Can you please read the posting guide linked to at the bottom of this
    and every R-Help mail? As is there's nothing to answer to.

    Hope this helps,

    Rui Barradas


    Às 20:26 de 23/11/21, Olivia Keefer escreveu:
    > Hello!
    >
    > My colleague and I have continually run into this error and would like to better understand why and how to remedy. We have been able to run other regressions, but when we go to run a certain set of variables, we both are getting this message each time we try.
    >
    > Any insight would be helpful as to 1) why and 2) how to remedy.
    >
    > Attaching our package as well here if it is helpful:
    >
    >
    >
    > #This loads the required package. Always select UK Bristol as a CRAN MIRROR / LOCATION
    >
    > #1. Highlight the below code and run (3rd icon or right click)
    >
    >
    >
    > require(relaimpo)
    >
    > install.packages('relaimpo',dep=TRUE)
    >
    > install.packages('iterators')
    >
    > install.packages('foreach')
    >
    >
    > Thanks!
    >
    > Olivia Keefer
    > Insights Analyst
    > she/her/hers
    >
    > Monigle
    > 575 8th Avenue
    > Suite 1716
    > New York, NY 10018
    > M 740.701.2163
    > okeefer using monigle.com<mailto:okeefer using monigle.com>
    > www.monigle.com<http://www.monigle.com/>
    > linkedin<http://www.linkedin.com/company/monigle/>| twitter<https://twitter.com/Monigle>| monigle blog<http://www.monigle.com/blog/>
    >
    >
    >
    >       [[alternative HTML version deleted]]
    >
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