sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
d9abb4383cdc1ad82b6d96f171491f614fef6d32211c325e7e63b88a7d242e82 | SAS | 3,066 | 86 | %macro MakeCMapSimilarityScoreBarplot(cmap_similarity_score_file);
/*proc import datafile='/home/cheng.zhong.shan/data/MAP3K19_down_regulated_genes_drug_similarity_scores.txt'*/
proc import datafile="&cmap_similarity_score_file"
dbms=tab out=x replace;
run;
data x;set x;
/* where abs(score)>95 and type="cc" and n... |
e3e4ca58cd116e46711defe5fcc3bb45bebbb603c41e60681f9370951376b847 | SAS | 3,078 | 111 |
%macro DiffTwoCorrelatedGWAS(/*Note: only common SNPs will be kept*/
gwas1dsd=,
gwas2dsd=,
nctrl=,/*Number of samples for the common grp between gwas1 and gwas2*/
ngwas1=,/*Total sample size for gwas1*/
ngwas2=,/*Total sample size for gwas2*/
gwas1chr_var=,
gwas1pos_var=,
snp_varname=rsid,
beta_varname=beta,
se_varnam... |
cd6397e5d227a1c59b006edf6f450241751dc1ab0c3e36ffb09e3155a5cd0e4f | SAS | 3,088 | 124 | %macro RiskFactorAnalysis(dsd,pheno,age_var,tested_vars,fisher);
%let test=chisq;
%if &fisher=1 %then %let test=fisher;
proc sort data=&dsd;by &pheno;run;
proc print data=&dsd (obs=10);run;
proc univariate data=&dsd normal plot;
var &age_var;
histogram &age_var/normal (MU=EST sigma=est color=red l=1);
by &phe... |
4a0518215d2e6fce25e16c7dd01c47fa3b9e894e414593c6ef275a0eb61a7f30 | SAS | 3,118 | 90 | %macro is_sas_macro(file=, bytes=8192, mv=IS_SASMACRO);
%if "%sysfunc(strip(&file))" ="" %then %do;
%put ERROR: (is_sas_macro) FILE= must be specified.;
%return;
%end;
%global &mv;
%let _exists = %sysfunc(fileexist(%sysfunc(dequote(&file))));
%if &_exists = 0 %then %do;
... |
8ba0cee9eca69813bec694de14ef94e553ae0b2e9d42cb581fa876b836322ec3 | SAS | 3,125 | 107 |
%macro Import_UKB_GWAS(
ukb_file=both_sexes.INFLUENZA_All_influenza_not_pneumonia_,/*for gz file, need to provide fullpath*/
dsdout=x,
deleteZIP=0,
print_top_hits=0
);
/*data x;*/
/*infile 'both_sexes.INFLUENZA_All_influenza_not_pneumonia_' dsd lrecl=32767 dlm='09'x truncover firstobs=2 obs=max;*/
/**Need to provide ... |
5516d4a053779f5ecd54b4cfab4e45bf866a9ba32f273370bee04374acecfff2 | SAS | 3,148 | 106 | %macro get_HGI_covid_gwas_from_HGI(
gwas_url,
outdsd,
for_subpop=0 /*R7 GWAS for ALL and sub-populations are in different format*/
);
%let wkdir=%sysfunc(getoption(work));
%let gwas_gz_file=%sysfunc(prxchange(s/.*\///,-1,&gwas_url));
%dwn_http_file(httpfile_url=&gwas_url,outfile=&gwas_gz_file,outdir=&wkdir);
/*... |
115706daf9a89470f4fca859d2a7db949c366263191c382af01c4828e3607e5d | SAS | 3,152 | 107 |
%macro Make_Proc_Import_Code(abs_data_file_name,sas_code_file,kept_variables,getnames_yes_no,datarow,dbms,Force2Num,dsdoutname);
*Excape char '\' or '/' in abs_data_file_name;
%let abs_data_file_name=%sysfunc(prxchange(s/[\\\/]/\\\//,-1,&abs_data_file_name));
%put &abs_data_file_name;
proc printto log="SAS_... |
dee34aaa7f932764aa065051f4a48c5dcf01d3574da0af7301930f280a3a4370 | SAS | 3,200 | 142 | %macro deseq_normalization4longdsd(
indsd=a,
outdsd=z,
key4row=r,
key4col=c,
val_var=val
);
data &indsd;
set &indsd;
/* if &val_var=0 then &val_var=.; */
if &val_var=0 then delete;
run;
*get geomean;
proc sql;
create table row_geomean as
select distinct &key4row, exp(mean(log(&val_var))) as geo_mean
fr... |
70de9e33ede056af57a462786cf01821d8598ee3adaa7b14deb717c34a038fe9 | SAS | 3,224 | 108 | %macro QueryRangeDsd(base_dsd,
key4range_in_base,
st4range_in_base,
end4range_in_base,
extra_vars_in_base2keep,
query_dsd,
key4range_in_query_dsd,
Pos4lookup_in_query_dsd,
ou... |
9300d42a374f2679fc3c289256beed4d7d5a245b4d098a14de91a3d807949784 | SAS | 3,227 | 101 | %macro transpose_rows2cols4table(
/*
Transpose rows-to-columns for a table;
Creates a mapping dataset (mapout) that stores long original &by values for each short column id;
Note: long2wide4multigrpsSameTypeVars is better than this one for handling column names with length >32;
*/
data=, out=, by=rowlabels, var=_... |
5c6a07db1eee4484fbf24cfaa344da4343e08e5ffb8df3cc0e95ac7835673b9d | SAS | 3,243 | 120 | %macro get_UKB_gwas_from_UKB_old(gwas_url,outdsd);
%let wkdir=%sysfunc(getoption(work));
%let gwas_gz_file=%sysfunc(prxchange(s/.*\///,-1,&gwas_url));
%dwn_http_file(httpfile_url=&gwas_url,outfile=&gwas_gz_file,outdir=&wkdir);
/*Put tmp data into sas work directory will save space*/
/* %ImportTXTFromZIP(zip=&wkdir... |
306f7e761a8e10f3ef2dc69b390bfecce98859ed8aaee7f628121101b33c9e8c | SAS | 3,316 | 97 | %macro PlotGeneTrackWithoutScatterplot(
gtf_dsd=FM.GTF_HG19,
/*demo for MAP3K19*/
chr=2,
minst=135023787,
maxend=137000000,
dist2genes=0,/*use it get SNPs located beyound the regions with the dist*/
dist2st_and_end=50000,/*to make the gene track to extend the regions beyound the gene st and end*/
design_width=1000,
des... |
f6a9cbe8430b883b6556709673418213c80aadc078821b7679ff1d4504d80eab | SAS | 3,324 | 104 |
%macro hist4p(dsdin,pvarname=pval,pbins=0 1e-7 1e-5 1e-3 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1,pgrp=g,outdsd=summary);
%make_bin_format(bins=&pbins,out_format_name=Pfrt);
data X;
set X;
P=&pvarname+0;
%if &pgrp ne %then %do;
G=&pgrp;
%end;
run;
proc freq data=X;
%if &pgrp eq %then %do;
table P/out=&outds... |
8b8ed93a1273499a6279b4c93d8f68bf0220d33ec4352d9a9f4232499e7bc948 | SAS | 3,388 | 125 | %macro plot_bed_with_gene_exons4dsd(
bed_dsd=,
gene_exon_bed_dsd=,
dist2st_and_end=50000,
design_width=1000,
design_height=200,
barthickness=20);
/*proc print data=_last_(obs=10);run;*/
/*
%chr_format_exchanger(
dsdin=_last_,
char2num=1,
chr_var=chr,
dsdout=a1);
*/
/*%chr_format_exchanger(
dsdin... |
3a056f5660f2614402a9f240656fba3660e58ce5043fa70798bdbacf9e47663e | SAS | 3,392 | 93 | %macro random_import_cell_mtex_slow(
gzfile=,/*the fullpath to compressed or plain file, such as gz, txt, zip, and others.*/
max_colnum=1000000,/*If the max number of cells to read from each line >10000, it will take too much time*/
totrandom_cols=10000,
random_seed=2718,
outdsd=subset_cell_exp,
rowname_len=100, ... |
255a6acc91399740eafe57fa019443e026fed532644081545184250ff86e2a79 | SAS | 3,432 | 162 | %macro list_ORA(/*Over-representation analysis*/
base_list_dsd=, /*A data set containing lists of elements associated with specific sets or pathways*/
base_list_var=V1,
query_list_dsd=, /*Target elements for testing enrichment of elements from the base_list_dsd in the ref_list dsd*/
query_list_var=V1,
ref_list_dsd... |
9cb2f16cb45396f60e557c4e858d883462311b39449f5487e207d9cf27051fde | SAS | 3,457 | 141 | %macro fisher4cntdsd(dsn=, case1var=, case0var=, ctr1var=, ctr0var=, byvars=, outdsd=);
data &outdsd;
set &dsn;
caseWMutation=&case1var;
if caseWMutation=. then caseWMutation=0;
caseWOMutation=&case0var;
if caseWOMutation=. then caseWOMutation=0;
controlWMutation=&ctr1var;
if controlWMutation=. then controlWMutation=0;... |
1b6a0ff7e34927e3792b1de76d104904e9007f62208ce854551bd649fd679026 | SAS | 3,483 | 132 | %macro gscatter_with_gene_exons4dsd(
bed_dsd=,
yval_var=,
scatter_grp_var=,
gene_exon_bed_dsd=,
dist2st_and_end=50000,
design_width=1000,
design_height=200,
barthickness=20);
/*proc print data=_last_(obs=10);run;*/
*Note: both the bed_dsd and gene_exon_bed_dsd should have char chromosomes;
/*
%chr_format_exchanger(... |
7a04993d497673aa6fa3c64c7166bb3c237ae82ca58bd134a9330f5aceb40d03 | SAS | 3,505 | 94 | /**********************************************************************
Parameters:
root_path - All directories and files under this root will be deleted.
The root_path will not be deleted (just empty)
lev - Used by the recursion algorithm, no need to modify default
rmFiles_lev0 - Set t... |
b15aba85d63ac8cb5a393062d7f63c3c6739a308b459c681348dc6bf996d3152 | SAS | 3,546 | 98 | %macro random_import_cell_mtex2longdsd(
gzfile=,/*the fullpath to compressed or plain file, such as gz, txt, zip, and others.*/
max_colnum=1000000,/*If the max number of cells to read from each line >10000, it will take too much time*/
totrandom_cols=10000,
random_seed=2718,
outdsd=subset_cell_exp,
rowname_len=10... |
d3db62b02f2502027f8d3677f127969834cdafe8b31810eca96b04427f35a83b | SAS | 3,547 | 129 | %macro plot_scatter_with_gene_exons4dsd(
bed_dsd=,
yval_var=,
gene_exon_bed_dsd=,
dist2st_and_end=50000,
design_width=1000,
design_height=200,
barthickness=20);
/*proc print data=_last_(obs=10);run;*/
*Note: both the bed_dsd and gene_exon_bed_dsd should have char chromosomes;
/*
%chr_format_exchanger... |
68a1699d5a9ff7b19591183906366b95466e8b9f61298d4d5cd1aa8049d75dad | SAS | 3,556 | 122 | %macro Extract1KG_Genos(
OneKG_Path,/*Use forward slish and No slish at the end*/
maf,
SubsetSamplesFile,
Outdir /*Use forward slish and No slish at the end*/
);
%get_filenames(location=&OneKG_Path,dsd_out=OneKG_filenames);
x cd "&Outdir";
data OneKG_filenames;
set OneKG_filenames(where=(memname conta... |
6938696e592621950b76c5c0acdbd4f4fdf0b4557f4a8f002341620156c38deb | SAS | 3,599 | 121 | %macro merge_dsd_by_comm_vars(dsds=, /*Name of the datasets, separated by space */
out=, /*Name of combined data set */
comm_vars_rgx= /*Common vars regulary expression among these datasets; no '()' is allowed!*/);
%let commvar_length=8;... |
2f7b89d472afd15a5aa71adc4588b1242e8120f4fd1b426856994004454cb184 | SAS | 3,613 | 177 | %macro get_top_hits4Manhattan(
dsdin=_last_,
snp_var=rsid,
chr_var=chr,
pos_var=pos,
p_var=p,
dsdout=tophits,
p_thrsd=1e-5, /*Only keep these signals with smaller values than the threshold*/
dist4get_uniq_top_hit=1e6 /*Only get the top one hit among the distance by pos with the top one at the center*/
);
*Not... |
55123695a125f3663910072bed6168c12dcdc4dfbbf80859674cc142a69ad1fd | SAS | 3,624 | 158 | %macro mkfmt4grps_by_var(
grpdsd,
grp_var,
by_var,/*Empty value is possible for this var, which is handy
when there would be duplciates of grp_var after sorting by
grp_var and by_var for the by_var to make a new format*/
outfmt4numgrps,
outfmt4chargrps,
dsd4fmt=dsd4fmt /*This dataset can be used to get fmt in... |
cc114f02f65a8c6927b7491ed13ed67fca108e57d3c2df8d89dddb3f48d3e735 | SAS | 3,645 | 145 |
%macro makefile
(
dataset=_last_ , /* Dataset to write */
filename=print , /* File to write to */
dlmr="," , /* Delimiter between values */
qtes="no" , /* Should SAS quote all character variables? */
header="no" , /* Do you want a header line w/ column names? */
la... |
74a52c6ba3e771a54ddf5b6cfa04e251d828af8ed3329add4537efc04d34e335 | SAS | 3,689 | 125 | %macro plot_bed_regs_with_gene_exons(
bed_dsd=,
gene_exon_bed_file=,
dist2st_and_end=50000,
design_width=1000,
design_height=200,
barthickness=20);
proc import datafile="&gene_exon_bed_file" dbms=tab out=exon_info replace;
getnames=no;
guessingrows=10000;
run;
/*proc print data=_last_(obs=10);run;*/
/*
... |
8633f303a902bcfec9aedf33d97aad992c92baa5a23b1df9c9cce6c2e9e4b8b6 | SAS | 3,699 | 120 | %macro bed_region_cnv_plot_sep_by_grp(bed_dsd,chr_var,st_var,end_var,grp_var,cnv_var,linethickness=20);
/*Note: this macro will create a var ord for making seriesplot and color each bed regions by the
macro var grp_var. The limitation is that each bed region will be
plotted separatedly among different subplots via... |
4c8395931b14c48d64de8f0c342e24c06e13ffb090f00d04e78257d9fa8185b5 | SAS | 3,718 | 167 | %macro get_top_signal_within_dist(
dsdin=,
grp_var=,
signal_var=,
select_smallest_signal=1,
pos_var=,
pos_dist_thrshd=,
dsdout=,
signal_thrshd=1 /*filter the input dsdin by association P, i.e, &signal_val <= &signal_thrshd*/
);
data &dsdout;
length Key $200.;
set &dsdin;
dis_st=&pos_var-&pos_dist_thrshd*... |
f74cf02f6ac856acf95f4746a08291f9d7bd583e00acb344f86dd52b19c8f195 | SAS | 3,740 | 148 |
%macro barplots_with_refline(
dsdin,
yaxis_var,
errorbar_length=1,
bar_width=5,
errorbar_color=blue,
bar_color=lightblue,
grp_var=,
sort_bar_var_by_mean=1,/*If value is 0, it will sort by grp_var alphabetically*/
yaxis_label=Mean of target variable
);
/*The following script will draw bar plot for your data... |
3ebbe7e72a8aa623c03dd30ca75c23d4320af32854591692e4139e56427ac192 | SAS | 3,756 | 118 | %macro VCF2KggPED( dir= /* Windows path of directory to vcf files */
, filename= /* Single VCF file name */
, dsdout= /* file name used for sas dataset and Kggseq PED file name (under &dir)*/
... |
ff055056fb177d6579978f05345e388a0761caf9f9a607b8efef1d5872f8dab2 | SAS | 3,789 | 145 | %macro format_xaxis_with_numeric_order(
dsdin,
Xaxis_vars,
new_Xaxis_var,
Var4sorting_Xaxis,
function4sorting,
descending_or_not,
dsdout,
createdfmtname,
KeyVar4Xaxis_vars=KeyVar4dsdout
);
*If AlsoAppFun4Cols=1, will apply specific function on each row or ALL Rows (if row_keys is missing) for ALL these mat... |
9095823fb457bee3b632b29652a336e617091c161a8d65e4f3db105381c80c15 | SAS | 3,838 | 111 | %macro sparse_mut_tb2full_long_tb(
/*
The macro is able to merge a full table with at least one variable, i.e.,
sample id, with the other smaller table only containing
observed muts in samples along with its membership by grp_var4mut,
the macro will first create a cross join table between the fulltable and
the m... |
466f503741f83d6339769e00fec83d24ef98b636bd6057d64127f630002d8a1b | SAS | 3,909 | 164 |
%macro importfilewithlongheader(
filename,
dlm4file,
startrow4read,
headerrow,
outdsd,
debug);
/*%let filename=FB63912.csv;*/
/*%let dlm4file=',';*/
/*%let startrow4read=2;*/
/*%let headerrow=1;*/
/**/
/*Import data without header*/
%if &debug=1 %then %do;
options obs=10;
%end;
proc import dat... |
8157a1dffd5fdeacb80e85f18261eb2d9f5592eef0f0f51f9f583a52ade80cee | SAS | 3,924 | 164 | %macro check_header_and_values(
input_dsd_or_file_or_url=,
tgt_var_from_dsd=info,
linesep=\t,
dsdout=x,
column_len=500,
header_line=1,
value_line=10,
use_zcat=0,
deleteZIP=0
);
%let wkdir=%sysfunc(getoption(work));
***************************************Prepare dsd from gz, zip, dsd, or url*************;
... |
e96b93cf54b16a57012abe0fdbaa897bdd415376ef6238b686dfd3425da441c3 | SAS | 3,944 | 96 | %macro DirRecursiveSearch(/*It will use SAS internal functions to search dir recursively*/
root_path=_NONE_,/*All dirs under it will be searched recursively*/
lev=0,
SR_Files_lev0=Y
);
/**********************************************************************
Parameters:
root_path - All directories and files ... |
6a87a31fa06eaecf46b47da93e50baa6aafd7c5a2b1ca29aba6f13c694002c73 | SAS | 3,963 | 178 | %macro MergerOverlappedRegInBed(
/*Note: the input vars, including chr_var, st_var, and end_var should be numeric;*/
bedin,
chr_var,
st_var,
end_var,
bedout,
add_original_bed=1, /*if value is 1, the output bedout will merge the original bedin with the newly merged bed regions for these input bed regions*/
dist2... |
812c30d626ed49e1f2e7b34ce5d345f741706513c10441e328372b03ad857ac5 | SAS | 3,988 | 153 | %macro macroparas4hpc(
macrorgx=.,
dir=%sysfunc(pathname(HOME))/Macros
~/shared/Macros
/home/zcheng/SAS-Useful-Codes/Macros
F:/360yunpan/SASCodesLibrary/SAS-Useful-Codes/Macros
/home/zhongshan/SAS-Useful-Codes/Macros
H:\F_Queens\360yunpan\SASCodesLibrary\SAS-Useful-Codes\Macros
,
verbose=0,
IsSASOnDemand=0,... |
a12b68f9f6c5869ee0156137781cc60266e5422750be9be0da5b0adeeefbcda8 | SAS | 4,005 | 180 | %macro get_tgt_hits4Manhattan(/*Note: the macro is able to keep the order of target snps and generate a macro var
called _chr_colors_ according to the chromsomes that these input snps residing in!*/
dsdin=_last_,
snp_var=rsid,
chr_var=chr,
pos_var=pos,
p_var=p,
dsdout=tophits,
target_snps=rs2564978 rs17425819, ... |
6032424c4bac2b87b8ca15e8fa0c18ef0e16f6c0d14f1cb2ecefb45cd45d30c6 | SAS | 4,009 | 119 | %macro top_gwas_hits_and_nearby_sigs(
GWAS_SAS_DSD=,
Marker_Col_Name=,
Marker_Pos_Col_Name=,
Xaxis_Col_Name=,
Yaxis_Col_Name=,
GWAS_dsdout=,
gwas_thrsd=, /*-log10(P) threshold, such as 5*/
Mb_SNPs_Nearby=,/*this Mb_factor will multiple 1,000,000 when running in the program*/
design_width=1000,
design_height=200
);
%... |
4b841628b7a89eedcff71357a95c92a573da0ee07d1872712cc41ff8e644ccde | SAS | 4,035 | 99 | %macro nums_in_range_adj_scale(
/*Note: the scale can only be integer with value >=1, as the macro will only be able to scale down the numbers in range!*/
st,/*start value that can be negative and position*/
end,/*end value*/
by,/*by value for each step; make sure it is matchable with st and end values*/
outmacrov... |
7e1bf3b90a40fc2fe9c6ecb40aca762bbeb3f4952ee67cf42a7d4db8d1d8d87a | SAS | 4,066 | 152 | %macro principal(Input, vars, Method, p, scoreout, outdata);
/* Reducing a set of variables (vars) using PCA, by keeping fraction p (p<=1) of the variance.
The output is stored in outdata and the model is stored in scoreout. */
/* First run PRINCOMP to get All the eigenvalues */
%if "&vars"="" %then %do;
%let v... |
4284dc7dbd902b24cc62eb5a360c92b1397645e89364e6e18f7692c51a794d55 | SAS | 4,077 | 141 | %macro boxplotbygrp(
dsdin=,
grpvar=,
category_var=%nrstr(&grpvar),
valvar=,
panelvars=,
attrmap_dsd=,
fig_height=600,
fig_width=600,
transparency=0.3,
boxwidth=0.5,
column_num=4
);
/*proc import datafile="/home/cheng.zhong.shan/data/out.txt" dbms=tab out=x replace;getnames=yes;run;*/
/* proc print data... |
7777680a7a4a0898aa5b7fc8080e2350c115172cb8b979cb373b0de97c26d3d1 | SAS | 4,086 | 158 |
%macro ImportFilebyScan(
file /*raw data file path*/
,dsdout /*SAS output dataset name; N.B.: All variables are in character!*/
,firstobs=0 /*The line number for header; if there is no header, firstobs=0*/
,dlm='09'x /*Delemiter for raw data*/
,ImportAllinChar=1 /*Imporat all data as char, otherwise i... |
c504243c22d1fc4fb0e61e60b9a02adbf96ec42fc10a0eaa79a17de59573f490 | SAS | 4,097 | 95 | %macro random_import_cell_mtex4smalldsd(
/*Funcational annotation: this macro is suitable for columns no more than 1 million, otherwise, it will be very slow, too*/
gzfile=,/*the fullpath to compressed or plain file, such as gz, txt, zip, and others.*/
max_colnum=1000000,/*If the max number of cells to read from eac... |
89ceebfb8df94ab9ffeb2236c5b126d94848abc1fb6b2e3f56ee92f93c1d6164 | SAS | 4,112 | 150 | %macro VarscanIDs2Bed(VarscanID_dsd,
Tbl_or_File,
VarName,
dsdout,
outbed_fullpath
);
options compress=yes;
/*Be caution that the start of position in BedInfo is equal to the start position -1 of ... |
618963ce840ba92668bfa579d7e0c6901f36408ecab373c183bfb63d6f8ef96c | SAS | 4,131 | 66 |
/*--------------------------------------------------------------------------------------*/
/* Multiple-Plot Displays: Simplified with Macros */
/* by Perry Watts */
/* Copyright(c) 2002 by SAS... |
6fc0be3a16e7ea9a3351011f97381f909bb5d6da6e6d1d294f2834b57f82047c | SAS | 4,172 | 158 |
%macro ImportFilebyScanAtCol(
file /*raw data file path*/
,dsdout /*SAS output dataset name; N.B.: All variables are in character!*/
,firstobs=0 /*The line number for header; if there is no header, firstobs=0*/
,dlm='09'x /*Delemiter for raw data*/
,ImportAllinChar=1 /*Imporat all data as char, otherw... |
f9b3c0d89b22afc9ee6bb0e7bf980bc84c8785e5aea1a33e4ce81d2c61194e28 | SAS | 4,177 | 119 | /**********************************************************************
Parameters:
root_path - All directories and files under this root will be deleted.
The root_path will not be deleted (just empty)
lev - Used by the recursion algorithm, no need to modify default
rmFiles_lev0 - Set t... |
a3cea8381c6c7902f438b825c900f0ae6d1eb600ea64ff56bb4bcccbce8eee3f | SAS | 4,179 | 155 | %macro plink_chr_beds_merge(
PLINK_EXE,
BED_dsd,
plink_chr_beds_path,
WorkDir,
SNP_File,
KeepIDsFile,
extra_plink_cmd,
OutBed
);
/*Go working directory*/
/*filter plink BED with several QC parameters*/
%if %sysfunc(prxmatch(/^\//,&WorkDir)) %then %do;
*For Linux system;
x cd &WorkDir;
%end;
%else %do;
*For windows sys... |
a3522054ae6051adc3c1d8de444d36104d41e201086e2c73019621e0c4df0f4b | SAS | 4,197 | 155 | %macro ApplyFunc_rowwide(
/*The macro is a handy tool to calculate common summary statistics, such as mean, median, sum, n, std, and others that allowed
in proc sql when conducting analysis on groups on ROW-WIDE. Additionally, the macro can generate summary statistics by
including data from both rows and columns, w... |
83acd25f720b420ef1cbbd8f4076eefc47bb05344bec03f00e896f84e19795f9 | SAS | 4,253 | 134 | %macro _import_sc_mtex_meta_umap_data(
/*This macro is replaced by import_sc_mtex_meta_umap_data*/
umap_file=https://cells.ucsc.edu/covid-hypertension/Seurat_umap.coords.tsv.gz,
/*local uncompressed or compressed (.gz) umap file or http link for compressed umap gz file*/
meta_file=https://cells.ucsc.edu/covid-hyper... |
285f0c28791c81b1cb6c1ad0b40a6240228324fa685f59a54bd7cc74573ca4fa | SAS | 4,285 | 150 | %macro GetGenesExons4LatticeGscatter(
gtf_dsd=FM.GTF_HG19,
/*Need to use sas macro import gtf to save GTF_HG19;
the data format for the gtf_dsd is fixed with the following vars:
chr st end genesymbol type protein_coding
*/
chr=,
min_st=,
max_end=,
dist2genes=100000,
outdsd=exons
);
*Need to first select t... |
0381516af6bc9a54bf6646ab5a35fb97c4784ed1ecfb9ae04181f186b3c63b5b | SAS | 4,302 | 111 |
%macro HGI2GWASs_Zscore_Calculator(
gwas1_txt_file=COVID19_HGI_B1_ALL_20201020.txt,
gwas2_txt_file=COVID19_HGI_B2_ALL_leave_23andme_20201020.txt,
dsdout=B1_vs_B2,
HGI_release_num=7 /*before release 7, such as 4, 5, and 6, the input data format are same but different from 7*/
);
*For release 7;
/*CHR POS REF ... |
1badcdb395ed9bb7cc42bed17958acc69c0aa9660f57b4373b71934a181db54a | SAS | 4,331 | 144 | %macro treeorder(
data=, /*A typical output generated by proc cluster*/
child=child, /*Equivalent to y_name_ or x_name_ from proc cluster; ensure there is not spaces
included in the elements of this variable!*/
parent=parent, /*Equivalent to y_parent_ or x_parent_ from proc cluster*/
hh=hh, /*Equivalent to y_he... |
fab3efc9db71458ce2827b91493824e17cf72c1ee6c5debf5306f26b44109183 | SAS | 4,331 | 165 |
%macro ImportPartialFilebyScan(
file /*raw data file path*/
,dsdout /*SAS output dataset name; N.B.: All variables are in character!*/
,firstobs=0 /*The line number for header; if there is no header, firstobs=0*/
,rows=1 /*How many rows will be imported after the header line*/
,dlm='09'x /*Delemiter f... |
aabb0546f9c0f5f0f173a407f833206b0e6d608a8d0268eeec6a9668fd4d1360 | SAS | 4,333 | 173 | %macro UniqNumGeno4VCFsamples(
/*Focus on SNPs that have different genotype in the current sample by comparing the genotype with other samples;
Also request the genotype to be het or homo for the alternative allele;
Additionally require the numeric genotype > other samples genotypes;
tmp=tmp+(G{ii}^=G{xi})*(G{ii}>0... |
1a406cd3aa749a5dc8204f272fb3a106d2b53b18c62ecbff3fb6891c1877a7e8 | SAS | 4,341 | 178 | %macro GEO_Pipeline(/*As different GSE and GPL files use specific genesymbol and probe ids,
it is better to run the macro without knowing these headers for them, If failed, it can be rescued
by evaluating these genesymbol and probe ids in the SAS output dataset*/
GSE_matrix_file=,
dlm4matrix='09'x,
ProbVarInMa... |
6203f4de6b0fe0a55995883824d6aa82fcf860577c109380ac70a22828067032 | SAS | 4,369 | 139 | %macro tree_CL_positions_bad(
/*The macro will get avg positions of all end leaves of each brach, which is not what is used by SAS
to draw dendrogram. In fact, the two 1st degree sub-branches of each non-end-leaf branches are used
to draw the middle position for each non-end-leaf branches! Please use a better macro, c... |
e7080f60024b9c49824447fd577d444157f4e3396a1f992a02f278882b93c6a2 | SAS | 4,369 | 164 | %macro Barchart_color_template(colors,temp_out);
/*SAS codes for defining colors for ods output*/
/*https://support.sas.com/kb/48/138.html*/
/*https://support.sas.com/rnd/base/ods/templateFAQ/Template_colors.html*/
/*WHITE #FFFFFF*/
/*BLUE #0000FF*/
/*YELLOW #FFF00*/
/*BLUE VIOLET #9F5F9F*/
/*BROWN #A62A2A*/
... |
65dac1d3f6cb4ac39f8c6067b073624d1794446f34abd349b961a68d1a396fe4 | SAS | 4,391 | 153 | %macro GDC_MutIDs2Bed(GDC_MutID_dsd,
Tbl_or_File,
VarName,
dsdout,
outbed_fullpath
);
options compress=yes;
/*Be caution that the start of position in BedInfo is equal to the start position -1 of ... |
3a2691a93e71ddefa38c6afabc93f2f69cdb7debada13dbbdc328a1048795696 | SAS | 4,446 | 92 | %macro SASZip_Lite(zip=, sfdr=, fstyl=, tfdr=);
/****************************************************************
The code posted below is provided "AS IS" with NO WARRANTIES.
ZIP: directory and file name of zip archive
SFDR: directory of source files (to be zipped)
FSTYL: File type of source files; value: *.* as ... |
c356e716ea811e1dedc6257753a4548fc8d922881d093d2289c23e0631102a70 | SAS | 4,473 | 185 |
%macro sexdiffgwaspipeline(
male_gwas=,
female_gwas=,
snp_varname=SNP,
chr_varname=chr,
pos_varname=BP,
beta_varname=beta,
se_varname=se,
p_varname=P,
Allele1_varname=A1,
Allele2_varname=A2,
MAF_varname=AF_Allele2,
MAFcutoff=0.05,
gwasout=out);
/*proc import datafile="female.20016_irnt_Fluid_intellige... |
f8f452d0b117d9675341dc315df83c3933feca9403b9fcc13e4feb38fbdd99da | SAS | 4,513 | 126 | %macro Run_7Zip(Dir=, /* Windows path of directory to examine*/
filename=, /* Target for 7Z */
Zip_Cmd= x, /* add commands listed belowing, such as x to run with fullpath
and e to extract with filename wit... |
3abb0998e4516b986c5a16e8653fbdf81856ef1f1bbde4c8638f61a99273829c | SAS | 4,573 | 165 | *Note: the colors used to filled bed regions and its complementary regions can be customized;
*by revising the macro manually;
%macro bed_block_complement4blockplot(
dsdin,
chr_var,
chr_value,
st_var,
end_var,
dsdout,
minst,
maxend,
generate_dsd_only,
use_alternate_mode2fill_blocks=1
/*When the value is 1... |
9dd4090d67d69b5d81da2ccd43f15d21c9749b31c278aadea3080ae206d6da3e | SAS | 4,578 | 154 | *****************************************************************************;
********************** Wilcoxon Rank Sum test Macro: **********************;
*****************************************************************************;
/*
notes/documentation
%wilcoxon(indata=test6, outdata=out_wilcox1, var=ser_plan s... |
a6600039e6e17036a34f3bab7988a98f573b7532bf6a5c72e028e39e614b79a3 | SAS | 4,594 | 179 | %macro get_UKB_gwas_from_UKB(gwas_url,outdsd);
%let wkdir=%sysfunc(getoption(work));
%let gwas_gz_file=%sysfunc(prxchange(s/.*\///,-1,&gwas_url));
%dwn_http_file(httpfile_url=&gwas_url,outfile=&gwas_gz_file,outdir=&wkdir);
/*Put tmp data into sas work directory will save space*/
/* %ImportTXTFromZIP(zip=&wkdir/&gwas_gz... |
21eae7f272a87fe970f407c1d56bc2e8a972d8c4c0dc6e386083ddc2fb195f6a | SAS | 4,649 | 135 | %macro Varscan2Annovar(VarscanTable_fullpath,dsdout,annovar_input,annovar_dir,annovar_outdir,Anno_dsd_out);
options compress=yes;
*Be caution that the start of position in ANNOVAR is equal to the start position -1 of UCSC!;
data ANNOVAR;
length A1 A2 $32767.;*This is for avoiding truncation of large deletion;
... |
27b2e0056de2d105015f1d5432fe7b2352c98c842f36a2b8e8a13c933032dd61 | SAS | 4,681 | 140 | %macro import_sc_mtex_meta_umap_data(
umap_file=https://cells.ucsc.edu/covid-hypertension/Seurat_umap.coords.tsv.gz,
/*local uncompressed or compressed (.gz) umap file or http link for compressed umap gz file*/
meta_file=https://cells.ucsc.edu/covid-hypertension/meta.tsv,
/*meta data for the single cells and sample... |
654774905cb12dd2e7a4e13d727b15473a1b9dc1a6d491e69d401724b78c73d9 | SAS | 4,901 | 176 | %macro rm_cols_gt_nmissing(
dsd,/*Input data set; it can be subsetted if not all numeric or character vars
are targetted before supplying to the macro*/
var_type, /*_numeric_ or _character_;
if only specific numeric or character vars are targeted, please subset the input dsd
based on specific variable names*/
... |
cf48aa796434d13ceb8a1888febe02b25c743b899ce35e471440a2b5e7e91c98 | SAS | 4,904 | 120 | %macro import_ncbi_gpff(
gpff_url=https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/000/001/405/GCF_000001405.40_GRCh38.p14/GCF_000001405.40_GRCh38.p14_protein.gpff.gz,
outdsd=hg38_gpff
);
%let OldOutDsd=&Outdsd;
*If the outdsd contains lib abbreviation;
*It is necessary to generate a gbff dsd in working directory f... |
4347dbd4de8ed69b6a70b2382390ec84e23e272cb5110220686faf8354442bec | SAS | 4,973 | 196 | %macro sc_glm4genes(
/*Note: sc_freq_boxplot also perform DEG analysis, which is better than this macro
However, this macro can be used for GTEx DEG analysis between sex or ancestry, such as
between AA and EA, if these grp information is added into the umap dataset manually!
*/
dsd,
dsd_headers,
dsd_umap,
gene... |
c51f190f3ff8c65b3c13032905958c275ec3c418e4527bd4848e005a1e1342d2 | SAS | 4,989 | 219 | %macro add_fake_pos_by_grp4nonnegvars(
dsdin,
axis_var,/*No negative values are allowed for the target axis var*/
axis_grp,
new_fake_axis_var,
dsdout, /*Two new variables, tag var and tpos, can be used to draw a ref line to separe each group*/
axis_step=1, /*Add extra step to separate each group for the end value... |
75d9bbd91c6dd2a5b1e64447ab91323cf3403ae8a9b851f69f52fe236f0fb7bd | SAS | 5,058 | 163 | *https://blogs.sas.com/content/iml/2019/11/13/create-biplots-sas.html;
%macro Biplot(
data=_LAST_, /* Data set for Biplot */
var =_NUMERIC_, /* Variables for Biplot */
id =ID, /* Observation ID variable */
dim... |
d2403115fcf6e2cfce5c95d241f1223a26d4984937b91ee64ccd3bf1120a07f8 | SAS | 5,065 | 199 | %macro glm_by_grps(
dsd=tgt,/*Long format data for proc glm*/
grpvars=rownames cluster,
yvar4glm=exp,/*var in the dsd for proc glm*/
GLMStatOutDsd=GLMStatOut,
GLM_classes=sex medication severity,
GLM_model=severity sex age medication,
pheno_var=severity, /*var for lsmeans analysis in proc glm*/
where_condition=,
exp_cu... |
134fd32f02d16bdff9ef028997ca6dfe89af4b2b704682081cd5ca2b65a30975 | SAS | 5,078 | 143 | %include "%sysfunc(pathname(HOME))/Macros/importallmacros_ue.sas";
%importallmacros_ue;
%let gwas=/home/cheng.zhong.shan/data/LongCOVID/CombineLongCOVIDGWAS.txt.gz;
%ImportFileHeadersFromZIP(
zip=&gwas,/*Only provide file with .gz, .zip, or common text file without comporession*/
filename_rgx=.,
obs=max,
sasdsdout=gw... |
9bdee004d908f6aa7c46c852f11efe79fb7618a81e17c84faf91e626bc082594 | SAS | 5,121 | 197 | %macro get_macros_used_by_macro_old(
macrorgx=.,
dir=%sysfunc(pathname(HOME))/Macros
~/shared/Macros
/home/zcheng/SAS-Useful-Codes/Macros
F:/360yunpan/SASCodesLibrary/SAS-Useful-Codes/Macros
/home/zhongshan/SAS-Useful-Codes/Macros
,
outdsd=macros,
verbose=0,
IsSASOnDemand=0
);
%if &sysscp=WIN %then %do;
%put Find y... |
5edb45947e6889fd5889d458cacfe94b17930d3a36461e2aada9c88caa784b1c | SAS | 5,155 | 199 |
%macro ImportFilebyScanAtSpecCols(
file /*raw data file path*/
,dsdout /*SAS output dataset name; N.B.: All variables are in character!*/
,firstobs=0 /*The line number for header; if there is no header, firstobs=0*/
,dlm='09'x /*Delemiter for raw data*/
,ImportAllinChar=1 /*Imporat all data as char, o... |
e413decf02f7812fbabe7b421302757d564a2c3f8d916736028d566c963635bd | SAS | 5,185 | 243 | %macro Adj_missing_cell_value4fisher(
/*This macro will add value of 1 to the 2x2 contigency table derived from the input long format dsd*/
longformdsd=,/*long format dsd containing >=3 columns: group var and pheno var, as well as a by variables*/
grp_var=grp,/*grp var for proc freq grp*pheno*/
pheno_var=new_pheno,/*ph... |
54d8bad1c28e3d4af49e16c050c552cc2de9af9a7e2dbaacd0a200a58f9710d2 | SAS | 5,262 | 186 | %macro ImportCovidGWASFromZIP(zip,filename_rgx,sasdsdout,deleteZIP);
%local nfiles txtfilenames txtfilename;
options compress=no;
%local gzip_tag;
/*do not quote the keyword gz for index function*/
%if %index(&zip,gz) %then %do;
%let gzip_tag=gzip;
%end;
%else %do;
%let gzip_tag=;
%end;
%if &filename_rgx eq %then... |
deaa64123ed68f86a993f688617091656443222c0cefef9242b6a2b43631a2d4 | SAS | 5,281 | 190 | %macro ImportGendcodeGTFFromZIP(
zip,
filename_rgx,
sasdsdout,
deleteZIP,
Use_zcat=0 /*if the gzip option is not availabe for old sas, use zcat in linux to replace it!*/
);
%local nfiles txtfilenames txtfilename;
options compress=yes;
%local gzip_tag;
/*do not quote the keyword gz for index function*/
%if %i... |
969434523d91db396e397c8dd1b1f5f0853f1489a563b2067893bc4b12e2ec3a | SAS | 5,294 | 154 | %macro RunKggseq( java_bin= /* Only single comma; when just run java with 'java -jar', it does not work, as sas use its inernal java */
, Kggseq_dir= /* Windows path of directory to Kggseq jar */
, dir= /... |
31c0a3cbad97012ed2bf8055e30a6489e6da6f014d79575e341c2f92d04338d7 | SAS | 5,348 | 188 | *Note: this macro is only able to import HGI GWAS from GRASP but not HGI database;
%macro ImportHGICovidGWASFromZIP(zip,filename_rgx,sasdsdout,deleteZIP);
%local nfiles txtfilenames txtfilename;
%let infile_command=%str(
informat chr $5.;
informat pos best32.;
informat REF $1.;
informat ALT $2.;
informat SNPI... |
b465c6cc34229f971447caf8e190762135b918b5cb60d5da645bb9cc7ec3e10e | SAS | 5,352 | 204 | %macro get_sc_read_geomean_and_readsum(
filename_ref_handle, /*filename handle, and all character columns
should be put at the beginning of the table!*/
total_num_vars, /*total number of numeric vars in the opened file handle*/
macro_prefix4NumVarSum, /*macro prefix used to generate macro vars for var sums*/
firstobs... |
be837ab17941e6cfc935b685bc348207030fd9e45a5de19060333eb3a5faf3c0 | SAS | 5,366 | 165 | *This macros will use many other internally included macros in current file;
*the following sub-macro is renamed to avoid of crash with other macros within;
*the SAS macro library;
%macro DirRecursiveSearch_(root_path=_NONE_,lev=0,SR_Files_lev0=Y);
/****************************************************************... |
0c598a7570d85953ab2f3d3760b7e6c593903ff0e227e05211ab84b9fbda1a3d | SAS | 5,492 | 211 | %macro OneKG_Assemble(
PLINK_EXE,
BED_dsd,
OneKG_Path,
WorkDir,
SNP_File,
KeepIDsFile,
extra_plink_cmd,
OutBed
);
/*Go working directory*/
/*filter plink BED with several QC parameters*/
%if %sysfunc(prxmatch(/^\//,&WorkDir)) %then %do;
*For Linux system;
x cd &WorkDir;
%end;
%else %do;
*For windows system;
x cd "&Wor... |
2ecce3a9e2daceb694aaf6347f7f9e869538f15d686ea95ff2764955c7e207b0 | SAS | 5,534 | 211 | %macro GRASP_COVID_Hosp_GWAS_Comparison(
gwas1=https://grasp.nhlbi.nih.gov/downloads/COVID19GWAS/10202020/COVID19_HGI_B1_ALL_20201020.b37.txt.gz,
gwas2=https://grasp.nhlbi.nih.gov/downloads/COVID19GWAS/10202020/COVID19_HGI_B2_ALL_leave_23andme_20201020.b37.txt.gz,
outdir=%sysfunc(pathname(HOME)), /*SAS GWAS data sets, ... |
dd5ec02cac1430a22dd4a9213d266b2481f7e88527a019a9ef97fd4beb1e6ddf | SAS | 5,581 | 204 | %macro sas_pgm_printer(
pgmrgx=.,
dir=%sysfunc(pathname(HOME))/Macros
\stjude.sjcrh.local\data\ResearchHome\ClusterHome\zcheng\SAS-Useful-Codes\Macros
H:\F_Queens\360yunpan\SASCodesLibrary\SAS-Useful-Codes\Macros
~/shared/Macros
/home/zcheng/SAS-Useful-Codes/Macros
F:/360yunpan/SASCodesLibrary/SAS-Useful-Codes/M... |
5e086a937a719d49286c7c762e023bb5c9f6af34ac997a4a0a893e4c1657fc42 | SAS | 5,591 | 169 | %macro get_sigs_from_locuszoom(
gwas_names=91854 192226 826733 793752, /*put multiple gwas numbers and separated with blank space;
Go to locuszoom to search for gwas and nevigate to specific gwas and obtain its gwas number in the weblink*/
gwas_labels=HGI_DF4_W1 HGI_DF4_N2 HGI_DF4_W2 HGI_DF4_N1,
/*These are labels... |
f41556756bb88f5d93671429260f901faae8cabbd31eb2899f3c14fb697a1001 | SAS | 5,652 | 185 | /*
This macro program first generates the orders and quotes data sets, then joins them
using both the SAS PROC SQL and the SyncJoin algorithm, and finally compares the
results from the two approaches. By systematically changing the parameter values and
invoking the macro repeatedly, the performance differences betw... |
ee9be6434efe53be3aa34d660966ea910ec0832ee7a9905be8f6092d7984db4e | SAS | 5,665 | 210 | %macro get_macros_used_by_macro_orig(/*This macro may run endlessly when the macro include its macro name without the Demo tag*/
macrorgx=.,
dir=%sysfunc(pathname(HOME))/Macros
~/shared/Macros
/home/zcheng/SAS-Useful-Codes/Macros
F:/360yunpan/SASCodesLibrary/SAS-Useful-Codes/Macros
/home/zhongshan/SAS-Useful-Co... |
f5a0edae59a7d4b36f267cd262faf216996d9b1d620c0deca4cc7ca300c6b594 | SAS | 5,708 | 215 | %macro macroparas(
macrorgx=.,
dir=%sysfunc(pathname(HOME))/Macros
\\stjude.sjcrh.local\data\ResearchHome\ClusterHome\zcheng\SAS-Useful-Codes\Macros
H:\F_Queens\360yunpan\SASCodesLibrary\SAS-Useful-Codes\Macros
~/shared/Macros
/home/zcheng/SAS-Useful-Codes/Macros
F:/360yunpan/SASCodesLibrary/SAS-Useful-Codes/M... |
eaaf505975f08f70afb80f984d9944c06dbf4b7c08cc1bfb1e1e790d779170e4 | SAS | 5,719 | 221 | %macro bed_region_plot_by_grp(
bed_dsd,
chr_var,
st_var,
end_var,
grp_var,
yval_var,
linethickness=20,
track_width=800,
track_height=400,
dist2st_and_end=0
);
%number_rows_by_grp(dsdin=&bed_dsd,grp_var=&grp_var,num_var4sort=&st_var,descending_or_not=0,dsdout=x1);
data x1(keep=&chr_var pos &yval_var &grp_va... |
30c8ce2468415450d79b4971e4f3a0e174a8d7a58654a22bcf2946c336f8f421 | SAS | 5,820 | 172 | %let macrodir=%sysfunc(pathname(HOME))/Macros;
%include "¯odir/importallmacros_ue.sas";
%importallmacros_ue;
*************Step1***********************;
%GRASP_COVID_Hosp_GWAS_Comparison(
gwas1=https://grasp.nhlbi.nih.gov/downloads/COVID19GWAS/10202020/COVID19_HGI_B1_ALL_20201020.b37.txt.gz,
gwas2=https://grasp.nhl... |
8290d4ba77883424a33ec6adccba0e1cbff5377f2702603fffabd040fcac754b | SAS | 5,828 | 181 | %macro Multgscatter_with_gene_exons4dsd(
bed_dsd=,
yval_var=,
scatter_grp_var=,
gene_exon_bed_dsd=,
dist2st_and_end=50000,
design_width=1000,
design_height=200,
barthickness=20,
makedotheatmap=0,/*use colormap to draw dots in scatterplot instead of the discretemap;
Note: if makedotheatmap=1, the scatterplot will not us... |
50153a97faa9058b24071771dd6c7acd95c86da566fbbb579e750ae01dc78ebb | SAS | 5,840 | 173 | %macro DROPMISS( DSNIN /* name of input SAS dataset */
, DSNOUT /* name of output SAS dataset */
, NODROP= /* [optional] variables to be omitted from dropping
even if they have only missing values */
);
*Read the original paper for detail;
*https://www.lexjansen.com/nesug/nes... |
dc1faed37ab65b28bc150cf58f2e6e2628893ddea4e07bb115c6566feba75105 | SAS | 6,040 | 195 |
%macro LocalScatterplots4MultGWASs(
longformatgwasfile,
Chr_var,
Pos_var,
GWAS_var,
beta_var,
rsid_var,
P_var,
subChr,
subStPos,
subEndPos,
otherfilters4whereCondition,
rsid_reflinepos,
rsid_ref,
log10pRef,
pcutoff,
FigHeight,
FigWidth
);
%if %sysfunc(exist(work.x)) %then %do;
%put using previou... |
4ec305c3782c24e62cb61134d4e86896cdee281f1b521292a6fffbb4908d3519 | SAS | 6,079 | 234 |
%macro ImportAllFilesInDirbyScan(
fileDir /*raw data file dir*/
,fileRegexp /*regexp to match files*/
,dsdout /*SAS output dataset name; N.B.: All variables are in character!*/
,firstobs=0 /*The line number for header; if there is no header, firstobs=0*/
,dlm='09'x /*Delemiter for raw data... |
efcac71da8c7b075bd2ff640cd3c0e7a7f428a87cf8a09bde1ee02f20c7eda4e | SAS | 6,222 | 155 | %macro tolong(widedata,longdata,id,suffix,suffixlo,suffixhi,vars,types=,lengths=,numprint=,quiet=);
/*
widedata - name of input data file that is in wide form
longdata - name of output data file that will be in long form
id - variable that uniquely identifies the wide records
suffix - variable n... |
fb11a64f2baff33b33158c8a7b7c5ac196eca605f3762f8cbe5e0f9917d6daae | SAS | 6,269 | 227 | %macro get_numeric_table_vars_length(
filename_ref_handle, /*filename handle, and all character columns
should be put at the beginning of the table!*/
total_num_vars, /*total number of numeric vars in the opened file handle*/
macro_prefix4NumVarLen, /*macro prefix used to generate macro vars for var lengths*/
firstob... |
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