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Suit of R-scripts to perform landscape genomic analyses

License: GNU General Public License v3.0

R 100.00%
r landscape-genetics landscape-genomics snp vcf rda pcadapt spca venn-diagram snmf lfmm2

langen_pipeline's Introduction

LanGen_pipeline

These suit of scripts were developed to perform the following analysis:

  1. SNPs dataset filtering
  2. Assessment of population genetic structure
  3. Selection of environmental data
  4. Assessment of fine-scale spatial genetic structure
  5. Identification of outlier (adaptive) loci using pcadapt
  6. Identification of genotype-environment associations using Redundancy Analyses (RDA) & Mahalanobis distances
  7. Identification of genotype-environment associations using Latent Factor Mixed Models (LFMM2)
  8. Plotting detections with a Venn Diagram
  9. Visual assessment of genotype-environment associations using Redundancy Analyses (RDA) on the candidate loci
  10. Mapping adaptive genetic variation using Spatial Principal Components (sPCA)
  11. Predicting adaptive genotypes from RDA models and environmental data

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langen_pipeline's Issues

Error in cor(x, snp.gen) : 'x' must be numeric (Loop)

Hello everyone,

I have a simple problem with this loop in the section (Correlations of each candidate SNP with the environmental predictors):

foo <- matrix(nrow=(ncand), ncol=4) # 4 columns for 4 predictors
colnames(foo) <- c("ID","POP","SURFACE","ALTITUDE")

for (i in 1:length(cand$snp)) {
nam <- cand[i,2]
snp.gen <- gen.imp[,nam]
foo[i,] <- apply(pred,2,function(x) cor(x,snp.gen))
}

#Error in cor(x, snp.gen) : 'x' must be numeric

I understand that cor is a correlation, but in the x section what kind of input should I add to the loop in this case?

Thank you very much for your help

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