updated read_data.R to return fp_adults as well
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2 changed files with 14 additions and 32 deletions
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@ -10,10 +10,15 @@ getwd()
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# Input: source data
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#====================
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source("read_data.R")
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source("reg_cols_extraction.R")
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########################################################################
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#==========
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#
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#==========
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# extract the flu positive population
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fp_adults = adult_df[adult_df$flustat == 1,]
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########################################################################
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table(adult_df$ia_exac_copd)
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table(adult_df$ia_exac_copd==1 & adult_df$asthma == 1) # check this is 4
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@ -22,37 +27,9 @@ table(fp_adults$ia_exac_copd==1 & fp_adults$asthma == 1) # check this is 3
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# clear unnecessary variables
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rm(all_df)
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rm(adult_df)
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########################################################################
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cols_to_extract = c("mosaic"
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, "ia_exac_copd"
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, "death"
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#, "obese2" #inc peaeds, but once you subset data for adults, its the same!
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, "obesity"
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, "flustat"
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, "sfluv"
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, "h1n1v"
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, "age"
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, "gender"
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, "asthma"
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, "vl_pfu_ul_npa1"
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, "los"
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, "onset2final"
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, "onsfindeath"
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, "onset_2_initial"
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, "o2_sat_admis"
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, "o2_sat_suppl"
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, "ethnicity"
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, "smoking"
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, "ia_cxr"
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, "max_resp_score"
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, "T1_resp_score"
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, "com_noasthma"
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, "T2_resp_score"
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, "inresp_sev"
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, "steroid")
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#npa_data =
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reg_data = fp_adults[, cols_to_extract]
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# sanity checks
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@ -43,7 +43,6 @@ all(meta_data_cols%in%colnames(all_df))
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metadata_all = all_df[, meta_data_cols]
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#==============
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# adult patients
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#==============
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@ -56,6 +55,12 @@ if (table(adult_df$adult == 1)[[1]] == nrow(adult_df) ){
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cat ("FAIL: adult df number mismatch!")
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}
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#==============
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# FLU positive: adult patients
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#==============
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# extract the flu positive population
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fp_adults = adult_df[adult_df$flustat == 1,]
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#============
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# hc
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#============
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