Warning message: NAs introduced by coercion
I see... Here's a portion of what my data looks like (csv file attached). I run again and here are the results: df4 <- read.csv(file = "mydata.csv", header = TRUE)
require(SNPRelate)> library(gdsfmt)> myd <- df4> myd <- df4> names(myd)[-1][1] "marker" "X88" "X9" "X17" "X25"
myd[,1][1] 3 4 5 6 8 10
# the data must be 0,1,2 with 3 as missing so you have r> sample.id <- names(myd)[-1]> snp.id <- myd[,1]> snp.position <- 1:length(snp.id) # not needed for ibs> snp.chromosome <- rep(1, each=length(snp.id)) # not needed for ibs> snp.allele <- rep("A/G", length(snp.id)) # not needed for ibs> # genotype data must have - in 3> genod <- myd[,-1]> genod[is.na(genod)] <- 3> genod[genod=="0"] <- 0> genod[genod=="1"] <- 2
genod2 <- as.matrix(genod)> head(genod2) marker X88 X9 X17 X25
[1,] "100023173|F|0-47:G>A-47:G>A" "0" "3" "3" "3" [2,] "1043336|F|0-7:A>G-7:A>G" "2" "0" "3" "0" [3,] "1212218|F|0-49:A>G-49:A>G" "0" "0" "0" "0" [4,] "1019554|F|0-14:T>C-14:T>C" "0" "0" "3" "0" [5,] "100024550|F|0-16:G>A-16:G>A" "3" "3" "3" "3" [6,] "1106702|F|0-8:C>A-8:C>A" "0" "0" "0" "0"
class(genod2) <- "numeric"Warning message:In class(genod2) <- "numeric" : NAs introduced by coercion> head(genod2)
marker X88 X9 X17 X25 [1,] NA 0 3 3 3 [2,] NA 2 0 3 0 [3,] NA 0 0 0 0 [4,] NA 0 0 3 0 [5,] NA 3 3 3 3 [6,] NA 0 0 0 0
class(genod2) <- "numeric"> class(genod2)[1] "matrix"
# read data > filn <-"simTunesian.gds"> snpgdsCreateGeno(filn, genmat = genod,+ sample.id = sample.id, snp.id = snp.id,+ snp.chromosome = snp.chromosome,+ snp.position = snp.position,+ snp.allele = snp.allele, snpfirstdim=TRUE)Error in snpgdsCreateGeno(filn, genmat = genod, sample.id = sample.id, :
is.matrix(genmat) is not TRUE Thanks, Meriam
On Tue, Jan 8, 2019 at 9:02 AM PIKAL Petr <petr.pikal at precheza.cz> wrote:
Hi see in line
-----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of N Meriam Sent: Tuesday, January 8, 2019 3:08 PM To: r-help at r-project.org Subject: [R] Warning message: NAs introduced by coercion Dear all, I have a .csv file called df4. (15752 obs. of 264 variables). I apply this code but couldn't continue further other analyses, a warning message keeps coming up. Then, I want to determine max and min similarity values, heat map plot, cluster...etc
require(SNPRelate) library(gdsfmt) myd <- read.csv(file = "df4.csv", header = TRUE) names(myd)[-1]
myd[,1]
myd[1:10, 1:10]
# the data must be 0,1,2 with 3 as missing so you have r
sample.id <- names(myd)[-1]
snp.id <- myd[,1]
snp.position <- 1:length(snp.id) # not needed for ibs
snp.chromosome <- rep(1, each=length(snp.id)) # not needed for ibs
snp.allele <- rep("A/G", length(snp.id)) # not needed for ibs
# genotype data must have - in 3
genod <- myd[,-1] genod[is.na(genod)] <- 3 genod[genod=="0"] <- 0 genod[genod=="1"] <- 2 genod[1:10,1:10] genod <- as.matrix(genod)
matrix can have only one type of data so you probaly changed it to character by such construction.
class(genod) <- "numeric"
This tries to change all "numeric" values to numbers but if it cannot it sets it to NA. something like
head(iris)
Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4 0.2 setosa 3 4.7 3.2 1.3 0.2 setosa 4 4.6 3.1 1.5 0.2 setosa 5 5.0 3.6 1.4 0.2 setosa 6 5.4 3.9 1.7 0.4 setosa
ir <-head(iris) irm <- as.matrix(ir) head(irm)
Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 "5.1" "3.5" "1.4" "0.2" "setosa" 2 "4.9" "3.0" "1.4" "0.2" "setosa" 3 "4.7" "3.2" "1.3" "0.2" "setosa" 4 "4.6" "3.1" "1.5" "0.2" "setosa" 5 "5.0" "3.6" "1.4" "0.2" "setosa" 6 "5.4" "3.9" "1.7" "0.4" "setosa"
class(irm) <- "numeric"
Warning message: In class(irm) <- "numeric" : NAs introduced by coercion
head(irm)
Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 0.2 NA 2 4.9 3.0 1.4 0.2 NA 3 4.7 3.2 1.3 0.2 NA 4 4.6 3.1 1.5 0.2 NA 5 5.0 3.6 1.4 0.2 NA 6 5.4 3.9 1.7 0.4 NA
Cheers Petr
*Warning message:In class(genod) <- "numeric" : NAs introduced by
coercion*
Maybe I could illustrate more with details so I can be more specific? Please, let me know. I would appreciate your help. Thanks, Meriam [[alternative HTML version deleted]]
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*Meriam Nefzaoui* *MSc. in Plant Breeding and Genetics* *Universidade Federal Rural de Pernambuco (UFRPE) - Recife, Brazil*