Last updated: 2018-08-25
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Untracked: data/rest2t3_psych_meds_BMI_hg37.rds
Untracked: data/rest2t3_psych_meds_hg37.rds
Untracked: data/salmon_gene_matrix_bak_reorder_time.txt
Untracked: data/technical_sample_info.csv
Untracked: data/tx_to_gene.txt
Untracked: data/tx_to_gene_37.txt
Untracked: data/usa2.pcawithref.menv.mds_cov
Untracked: data/~$Labels.xlsx
Untracked: data/~$T0_consolid.xlsx
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Untracked: docs/figure/
Unstaged changes:
Modified: analysis/_site.yml
Modified: analysis/about.Rmd
Deleted: analysis/chunks.R
Modified: analysis/index.Rmd
Modified: analysis/license.Rmd
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
The goal of this script is to collect the dates that each of the time points were collected at.
# Load file
year_month_date <- read.csv("../data/BAN_dates_txt.csv", header = TRUE, stringsAsFactors = FALSE)
dim(year_month_date)
[1] 55 17
difftime(year_month_date[1,6], year_month_date[1,4], units = c("days"))
Time difference of 5 days
for (i in 1:55){
# T0 to T1
if(year_month_date[i,6] == "."){print(NA)}
else{
# Admission to discharge
print(round(as.numeric(difftime(year_month_date[i,6], year_month_date[i,4], units = c("days")))), digits = 0)}
# T1 to T2
if(year_month_date[i,8] == "."){print(NA)}
else{
# Admission to discharge
print(round(as.numeric(difftime(year_month_date[i,8], year_month_date[i,4], units = c("days")))), digits = 0)}
# T2 to T3
if(year_month_date[i,13] == "."){next}
else{
# Admission to time 3
print(round(as.numeric(difftime(year_month_date[i,13], year_month_date[i,4], units = c("days")))))}
}
[1] 5
[1] 12
[1] 142
[1] 1
[1] 24
[1] 139
[1] 1
[1] 8
[1] 5
[1] 69
[1] 207
[1] 4
[1] 54
[1] 1
[1] 31
[1] 102
[1] 1
[1] 42
[1] 160
[1] 1
[1] 18
[1] 126
[1] 1
[1] 25
[1] 130
[1] 1
[1] 32
[1] 117
[1] 4
[1]10
[1] 3
[1] 11
[1] 95
[1] 1
[1] 37
[1] 138
[1] 4
[1] 54
[1] 143
[1] 1
[1] 28
[1] 121
[1] 1
[1] 19
[1] 110
[1] 1
[1] 27
[1] 114
[1] 2
[1] 43
[1] 2
[1] 21
[1] 133
[1] 2
[1] 37
[1] 133
[1] 2
[1] 66
[1] 154
[1] 1
[1] 25
[1] 3
[1]10
[1] 99
[1] 3
[1] 39
[1] 148
[1] 1
[1] 74
[1] 164
[1] 2
[1] 21
[1] 104
[1] 2
[1] 29
[1] 1
[1] 25
[1] 132
[1] 3
[1] 40
[1] 1
[1] 37
[1] 206
[1] 1
[1] 21
[1] 130
[1] 1
[1] 75
[1] 2
[1] 57
[1] 3
[1] 31
[1] 148
[1] 5
[1] 34
[1] 7
[1] 23
[1] 2
[1] 7
[1] 1
[1] 18
[1] 1
[1] 33
[1] 3
[1] 8
[1] 121
[1] 4
[1] 19
[1] 1
[1] 28
[1] 129
[1] 4
[1] 30
[1] 4
[1] 24
[1] 154
[1] 4
[1] 34
[1] 145
[1] 4
[1] 36
[1] 5
[1] 38
[1] 6
[1] 28
[1] 143
[1]10
[1] 24
[1] 6
[1] 14
[1] 175
[1] 4
[1] 7
[1] 4
[1] 5
[1] 3
[1] 26
[1] 151
[1] 3
[1] 20
[1] 125
[1] 5
[1] 19
[1] 124
for (i in 1:55){
if(year_month_date[i,16] == ""){next}
else{
# Admission to discharge
print(round(as.numeric(difftime(year_month_date[i,16], year_month_date[i,4], units = c("days")))), digits = 0)}
if(year_month_date[i,17] == ""){next}
else{
# Admission to time 3
print(round(as.numeric(difftime(year_month_date[i,17], year_month_date[i,4], units = c("days")))))}
}
[1] 577
[1] 947
[1] 526
[1] 947
[1] 540
[1] 925
[1] 432
[1] 825
[1] 438
[1] 822
[1] 483
[1] 861
for (i in 1:55){
if(year_month_date[i,8] == "."){print(NA)}
else{
# Admission to discharge
print(round(as.numeric(difftime(year_month_date[i,8], year_month_date[i,6], units = c("days")))), digits = 0)}
}
[1] 7
[1] 23
[1] 7
[1] 64
[1] 50
[1] 30
[1] 41
[1] 17
[1] 24
[1] 31
[1] 6
[1] 8
[1] 36
[1] 50
[1] 27
[1] 18
[1] 26
[1] 41
[1] 19
[1] 35
[1] 64
[1] 24
[1] 7
[1] 36
[1] 73
[1] 19
[1] 27
[1] 24
[1] 37
[1] 36
[1] 20
[1] 74
[1] 55
[1] 28
[1] 29
[1] 16
[1] 5
[1] 17
[1] 32
[1] 5
[1] 15
[1] 27
[1] 26
[1] 20
[1] 30
[1] 32
[1] 33
[1] 22
[1] 14
[1] 8
[1] 3
[1] 1
[1] 23
[1] 17
[1] 14
# Load file
birth_age <- read.csv("../data/birthday_age.csv", header = TRUE, stringsAsFactors = FALSE)
# Birthday to bloodwork in weeks --> years
for (i in 1:nrow(birth_age)){
# Admission to discharge
print(round(as.numeric(difftime(birth_age[i,4], birth_age[i,3], units = c("weeks")), digits = 0))/52.1429)
}
[1] 24.58628
[1] 24.75888
[1] 25.14245
[1] 19.00546
[1] 26.69587
[1] 29.86025
[1] 26.63833
[1] 21.80546
[1] 32.98627
sessionInfo()
R version 3.4.3 (2017-11-30)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: OS X El Capitan 10.11.6
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] workflowr_1.1.1 Rcpp_0.12.18 digest_0.6.15
[4] rprojroot_1.3-2 R.methodsS3_1.7.1 backports_1.1.2
[7] git2r_0.23.0 magrittr_1.5 evaluate_0.11
[10] stringi_1.2.4 whisker_0.3-2 R.oo_1.22.0
[13] R.utils_2.6.0 rmarkdown_1.10 tools_3.4.3
[16] stringr_1.3.1 yaml_2.2.0 compiler_3.4.3
[19] htmltools_0.3.6 knitr_1.20
This reproducible R Markdown analysis was created with workflowr 1.1.1