-
Notifications
You must be signed in to change notification settings - Fork 0
/
.Rhistory
34 lines (34 loc) · 1.99 KB
/
.Rhistory
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
pkgsN <- read.delim("list_R_packages.tsv"
)
pkgsN
pkgsN <- read.delim("list_R_packages.tsv")
pkgsN
pkgsN <- read.delim("list_R_packages.tsv", sep = "\t")
pkgsN
pkgsN <- read.delim("list_R_packages.tsv", sep = "\t")
pkgsN
pkgsN <- read.delim("list_R_packages.tsv", sep = "\t")
pkgsN
pkgsN <- read.delim("list_R_packages.tsv", sep = "\t")
pkgsN
Core_CRAN <- c("tidyverse", "data.table", "dtplyr", "ggfortify", "ggpubr", "ggrepel", "janitor", "matrixStats", "optparse", "pheatmap", "pryr", "GGally", "viridis", "yaml")
Bioconductor_core <- c("DESeq2", "EnhancedVolcano", "plyranges", "msigdbr", "clusterProfiler", "BiocParallel", "GenomicFeatures", "AnnotationDbi")
dtf <- data.frame(Core_CRAN, Bioconductor_core)
Core_CRAN <- c("tidyverse", "data.table", "dtplyr", "ggfortify", "ggpubr", "ggrepel", "janitor", "matrixStats", "optparse", "pheatmap", "pryr", "GGally", "viridis", "yaml")
Bioconductor_core <- c("DESeq2", "EnhancedVolcano", "plyranges", "msigdbr", "clusterProfiler", "BiocParallel", "GenomicFeatures", "AnnotationDbi")
dtf <- data.frame(Core_CRAN, Bioconductor_core)
dtf
#author sam
#date: feb 9th 2024
Core_CRAN <- c("tidyverse", "data.table", "dtplyr", "ggfortify", "ggpubr", "ggrepel", "janitor", "matrixStats", "optparse", "pheatmap", "pryr", "GGally", "viridis", "yaml")
Bioconductor_core <- c("DESeq2", "EnhancedVolcano", "plyranges", "msigdbr", "clusterProfiler", "BiocParallel", "GenomicFeatures", "AnnotationDbi")
# Original vectors
Core_CRAN <- c("tidyverse", "data.table", "dtplyr", "ggfortify", "ggpubr", "ggrepel", "janitor", "matrixStats", "optparse", "pheatmap", "pryr", "GGally", "viridis", "yaml")
Bioconductor_core <- c("DESeq2", "EnhancedVolcano", "plyranges", "msigdbr", "clusterProfiler", "BiocParallel", "GenomicFeatures", "AnnotationDbi")
# Make the length of Bioconductor_core equal to Core_CRAN by filling with NA
length(Bioconductor_core) <- length(Core_CRAN)
# Create the data frame
dtf <- data.frame(Core_CRAN, Bioconductor_core)
dtf
write.csv(dtf, "R_packages_to_install.csv", row.names = FALSE)
q()