From 4f1bea0d6a4c97db286425f84cbf87ddffd73001 Mon Sep 17 00:00:00 2001 From: Lilin Yin <1009926399@qq.com> Date: Fri, 8 Dec 2023 10:24:47 +0800 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 185f235..30bc3f5 100644 --- a/README.md +++ b/README.md @@ -94,7 +94,7 @@ Typing ```?MVP``` could get the details of all parameters. # Data Preparation ## Phenotype **[back to top](#contents)** -We suggest to provide the phenotype file, users needn't to manually pre-treat the order of phenotype and genotype individuals, MVP could automatically adjust the order of genotype file to be consistent with phenotype file. +We suggest to provide the phenotype file, users needn't to manually pre-treat the order of phenotype and genotype individuals, rMVP could automatically adjust the order of genotype file to be consistent with phenotype file. **Note that if the phenotype is provided in data conversion, rMVP will generate a new phenotype file, please remember to load it for analysis rather than original one**. | Taxa | trait1 | trait2 | trait3 | | :---: | :---: |:---: |:---: | @@ -503,7 +503,7 @@ MVP.Data.PC(TRUE, mvp_prefix='mvp', perc=1, pcs.keep=5) At least you should prepare three datasets: genotype, phenotype, and map **genotype**, genotype data generated by **'MVP.Data'** function -**phenotype**, phenotype data, the first column is taxa name and second column is phenotype value +**phenotype**, phenotype data, the first column is taxa name and second column is phenotype value. Note that if the phenotype is provided in data conversion, rMVP will generate a new phenotype file, please remember to load it for analysis rather than original one **map**, SNP map information, the first column is SNP name, the second column is Chromosome ID, the third column is phsical position ```r genotype <- attach.big.matrix("mvp.geno.desc")