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report design.sublime-workspace
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"chi_mh.varlist <- subset(current, name %in% c(\"ta5020\", \"ta5021\", \"ta5022\", \n \"ta5023\", \"ta5024\", \"ta5025\", \"ta5026\", \"ta5027\", \"ta5028\", \n \"ta5029\", \"ta5030\", \"ta5031\", \"ta5032\", \"tc4030\", \"tc4031\", \n \"tc4032\", \"tc4033\", \"tc4034\", \"tc4035\", \"tc4036\", \"tc4037\", \n \"tc4038\", \"tc4039\", \"tc4040\", \"tc4041\", \"tc4042\", \"fddp110\", \n \"fddp112\", \"fddp113\", \"fddp114\", \"fddp115\", \"fddp116\", \n \"fddp118\", \"fddp119\", \"fddp121\", \"fddp122\", \"fddp123\", \n \"fddp124\", \"fddp125\", \"ff6500\", \"ff6502\", \"ff6503\", \"ff6504\", \n \"ff6505\", \"ff6506\", \"ff6508\", \"ff6509\", \"ff6511\", \"ff6512\", \n \"ff6513\", \"ff6514\", \"ff6515\", \"fg7210\", \"fg7212\", \"fg7213\", \n \"fg7214\", \"fg7215\", \"fg7216\", \"fg7218\", \"fg7219\", \"fg7221\", \n \"fg7222\", \"fg7223\", \"fg7224\", \"fg7225\", \"ccs4500\", \"ccs4502\", \n \"ccs4503\", \"ccs4504\", \"ccs4505\", \"ccs4506\", \"ccs4508\", \"ccs4509\", \n \"ccs4511\", \"ccs4512\", \"ccs4513\", \"ccs4514\", \"ccs4515\", \"CCXD900\", \n \"CCXD902\", \"CCXD903\", \"CCXD904\", \"CCXD905\", \"CCXD906\", \"CCXD908\", \n \"CCXD909\", \"CCXD911\", \"CCXD912\", \"CCXD913\", \"CCXD914\", \"CCXD915\",\n \"cct2700\", \"cct2701\", \"cct2702\", \"cct2703\", \"cct2704\", \"cct2705\", \n \"cct2706\", \"cct2707\", \"cct2708\", \"cct2709\", \"cct2710\", \"cct2711\",\n \"cct2712\", \"YPA2000\", \"YPA2010\", \"YPA2020\", \"YPA2030\", \"YPA2040\", \n \"YPA2050\", \"YPA2060\", \"YPA2070\", \"YPA2080\", \"YPA2090\", \"YPA2100\", \n \"YPA2110\", \"YPA2120\", \"YPB5000\", \"YPB5010\", \"YPB5030\", \"YPB5040\", \n \"YPB5050\", \"YPB5060\", \"YPB5080\", \"YPB5090\", \"YPB5100\", \"YPB5120\", \n \"YPB5130\", \"YPB5150\", \"YPB5170\", \"YPC1650\", \"YPC1651\", \"YPC1653\", \n \"YPC1654\", \"YPC1655\", \"YPC1656\", \"YPC1658\", \"YPC1659\", \"YPC1660\", \n \"YPC1662\", \"YPC1663\", \"YPC1665\", \"YPC1667\", \"j557a\", \"j557d\", \n \"kq348c\", \"kq348e\", \"n8365a\", \"n8365d\", \"ku673b\", \"ku707b\", \n \"ku709b\", \"kw6100b\", \"kw6602b\", \"kw6604b\", \"ta7025a\", \"ta7025d\", \n \"tc4025a\", \"tc4025d\", \"sa163b\", \"sa165b\", \"se163b\", \"se165b\", \n \"j557b\", \"j557c\", \"kq348d\", \"kq348b\", \"n8365b\", \"n8365c\", \"ku708b\", \n \"ku706b\", \"kw6603b\", \"kw6601b\", \"ta7025b\", \"ta7025c\", \"tc4025b\", \n \"tc4025c\", \"sa164b\", \"sa162b\", \"se164b\", \"se162b\", \"FJCI602\", \n \"FJCI604\", \"FJCI605\", \"FJCI606\", \"FJCI001\", \"FJCI369\", \"FJCI1001\"))\n\nchi_mh_mast.data <- extractVars(chi_mh.varlist)\n\nchi_mh.data <- chi_mh_mast.data",
"cisr_dep",
"cisr_selfharm",
"cisr_anx",
"chi_mh.data <- chi_mh_mast.data\n\nchi_mh.data <- chi_mh.data %>%\n mutate_if(is.numeric, funs(ifelse( . < 0 | . == 9, NA, .)))\n\n################################################################################\n# 2. Create variable lists \n################################################################################\nmfq.ta.vars <- c(\"ta5020\", \"ta5021\", \"ta5022\", \"ta5023\", \"ta5024\", \"ta5025\", \n \"ta5026\", \"ta5027\", \"ta5028\", \"ta5029\", \"ta5030\", \"ta5031\", \n \"ta5032\")\nmfq.tc.vars <- c(\"tc4030\", \"tc4031\", \"tc4032\", \"tc4033\", \"tc4034\", \"tc4035\",\n \"tc4036\", \"tc4037\", \"tc4038\", \"tc4039\", \"tc4040\", \"tc4041\", \n \"tc4042\")\nmfq.fd.vars <- c(\"fddp110\", \"fddp112\", \"fddp113\", \"fddp114\", \"fddp115\",\n \"fddp116\", \"fddp118\", \"fddp119\", \"fddp121\", \"fddp122\", \"fddp123\", \n \"fddp124\", \"fddp125\")\nmfq.ff.vars <- c(\"ff6500\", \"ff6502\", \"ff6503\", \"ff6504\", \"ff6505\", \"ff6506\", \n \"ff6508\", \"ff6509\", \"ff6511\", \"ff6512\", \"ff6513\", \"ff6514\", \n \"ff6515\")\nmfq.fg.vars <- c(\"fg7210\", \"fg7212\", \"fg7213\", \"fg7214\", \"fg7215\", \"fg7216\", \n \"fg7218\", \"fg7219\", \"fg7221\", \"fg7222\", \"fg7223\", \"fg7224\", \n \"fg7225\")\nmfq.ccs.vars <- c(\"ccs4500\", \"ccs4502\", \"ccs4503\", \"ccs4504\", \"ccs4505\", \"ccs4506\", \n \"ccs4508\", \"ccs4509\", \"ccs4511\", \"ccs4512\", \"ccs4513\", \"ccs4514\", \n \"ccs4515\")\nmfq.ccx.vars <- c(\"CCXD900\", \"CCXD902\", \"CCXD903\", \"CCXD904\", \"CCXD905\", \"CCXD906\", \n \"CCXD908\", \"CCXD909\", \"CCXD911\", \"CCXD912\", \"CCXD913\", \"CCXD914\", \n \"CCXD915\")\nmfq.cct.vars <- c(\"cct2700\", \"cct2701\", \"cct2702\", \"cct2703\", \"cct2704\", \"cct2705\", \n \"cct2706\", \"cct2707\", \"cct2708\", \"cct2709\", \"cct2710\", \"cct2711\", \n \"cct2712\")\nmfq.ypa.vars <- c(\"YPA2000\", \"YPA2010\", \"YPA2020\", \"YPA2030\", \"YPA2040\", \"YPA2050\", \n \"YPA2060\", \"YPA2070\", \"YPA2080\", \"YPA2090\", \"YPA2100\", \"YPA2110\", \n \"YPA2120\")\nmfq.ypb.vars <- c(\"YPB5000\", \"YPB5010\", \"YPB5030\", \"YPB5040\", \"YPB5050\", \"YPB5060\", \n \"YPB5080\", \"YPB5090\", \"YPB5100\", \"YPB5120\", \"YPB5130\", \"YPB5150\", \n \"YPB5170\")\nmfq.ypc.vars <- c(\"YPC1650\", \"YPC1651\", \"YPC1653\", \"YPC1654\", \"YPC1655\", \"YPC1656\", \n \"YPC1658\", \"YPC1659\", \"YPC1660\", \"YPC1662\", \"YPC1663\", \"YPC1665\", \n \"YPC1667\")\n\n################################################################################\n# 3. Derive variables \n################################################################################\n\n## ---- SDQ Internalising ------------------------------------------------------\nchi_mh.data <- chi_mh.data %>%\nmutate(\n sqd_int_3_mat = j557a + j557d,\n sdq_int_6_mat = kq348c + kq348e, \n sdq_int_8_mat = n8365a + n8365d, \n sdq_int_9_mat = ku707b + ku709b, \n sdq_int_11_mat = kw6602b + kw6604b, \n sdq_int_13_mat = ta7025a + ta7025d, \n sdq_int_16_mat = tc4025a + tc4025d, \n sdq_int_8_sch = sa163b + sa165b, \n sdq_int_11_sch = se163b + se165b)\n \n## ---- Externalising ----------------------------------------------------------\nchi_mh.data <- chi_mh.data %>%\nmutate(sqd_ext_3_mat = j557b + j557c, \n sqd_ext_6_mat = kq348d + kq348b, \n sqd_ext_8_mat = n8365b + n8365c, \n sqd_ext_9_mat = ku708b + ku706b, \n sqd_ext_11_mat = kw6603b + kw6601b, \n sqd_ext_13_mat = ta7025b + ta7025c, \n sqd_ext_16_mat = tc4025b + tc4025c, \n sqd_ext_8_sch = sa164b + sa162b, \n sqd_ext_11_sch = se164b + se162b)\n\n## ---- MFQ -------------------------------------------------------------------- \nchi_mh.data <- chi_mh.data %>%\nmutate(\nmfq_10_chi = proRate(chi_mh.data, mfq.fd.vars, 0),\nmfq_12_chi = proRate(chi_mh.data, mfq.ff.vars, 0),\nmfq_13_chi = proRate(chi_mh.data, mfq.fg.vars, 0),\nmfq_16_chi = proRate(chi_mh.data, mfq.ccs.vars, 0), \nmfq_17_chi = proRate(chi_mh.data, mfq.ccx.vars, 0),\nmfq_21_chi = proRate(chi_mh.data, mfq.ypa.vars, 0),\nmfq_22_chi = proRate(chi_mh.data, mfq.ypb.vars, 0),\nmfq_23_chi = proRate(chi_mh.data, mfq.ypc.vars, 0), \nmfq_9_mat = ku673b, \nmfq_11_mat = kw6100b, \nmfq_13_mat = proRate(chi_mh.data, mfq.ta.vars, 0), \nmfq_16_mat = proRate(chi_mh.data, mfq.tc.vars, 0)) \n\n## ---- CIS-R ------------------------------------------------------------------\n\n# Participants coded as meeting criteria for an anxiety disorder if they \n# meet criteria for either (i) Generalised anxiety disorder, (ii) Panic disorder, \n# (iii) Agoraphobia, or (iv) Social phobia.\n\nchi_mh.data <- chi_mh.data %>%\nmutate(\n cisr_anx_18 = factor(\n ifelse(FJCI602 == 1 | FJCI604 == 1 | FJCI605 == 1 | \n FJCI606 ==1, 1, 0),\n labels = c(\"Yes\", \"No\")),\n cisr_selfharm_18 = factor(\n ifelse(FJCI369 == 1, 0, 1),\n labels = c(\"No\", \"Yes\")),\n cisr_dep_18 = factor(FJCI1001,\n labels = c(\"No\", \"Yes\")))",
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"mat_ang_tot",
"ang_quart",
"sup.varlist",
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"imp.varlist",
"detach.varlist",
"ang.varlist",
"mat_pers_mast",
"data.wp6",
"p_int_6_7_a",
"mat_cov.data",
"mat_cov_mast.data",
"mat_cov.varlist",
"pat",
"maternal",
"cov.data",
"cov_mast.data",
"cov.varlist",
"cov.data",
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"cov.data <- cov_mast.data",
"efa_sub.fa_6"
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