{ "_id": "6acb6949fe5cc25786e8f98e", "Title": "Scales Score Calculation from Quality of Life Data", "Package": "QoLMiss", "Type": "Package", "Version": "0.1.0", "Date": "2022-01-06", "Description": "There are three functions: qol, miss_qol and miss_patient\ntakes input of the data set containing the answers of QOL\nquestionnaire. It will compute the three types of domain based\nscale scores: Global, Functional, and Symptoms. In case of\nmissing data, the miss_qol and miss_patient functions will make\nthe required changes and then calculate the domain-wise scale\nscores. Finally, provide an output replacing the question\ncolumns with the domain-based scale scores in the original data\nset.", "LazyDataCompression": "xz", "ByteCompile": "Yes", "Authors@R": "c(person((\"Atanu\"), \"Bhattacharjee\",\nemail=\"atanustat@gmail.com\",\nrole=c(\"aut\", \"cre\",\"ctb\")),\nperson((\"Ankita\"), \"Pal\", role=c(\"aut\",\"ctb\")))", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "Maintainer": "Atanu Bhattacharjee ", "RoxygenNote": "7.1.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-11 10:43:45 UTC", "User": "root" }, "Author": "Atanu Bhattacharjee [aut, cre, ctb], Ankita Pal [aut, ctb]", "Repository": "https://atanubhattacharjee.r-universe.dev", "Date/Publication": "2022-01-07 12:32:52 UTC", "RemoteUrl": "https://github.com/cran/QoLMiss", "RemoteRef": "HEAD", "RemoteSha": "36bd55fd1cf6132f749d5ec178cae943fee6fe90", "_user": "atanubhattacharjee", "_type": "src", "_file": "QoLMiss_0.1.0.tar.gz", "_fileid": 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Quality of Life data with missing values.", "object": "thyc_df_miss", "class": [ "data.frame" ], "fields": [ "ID", "time", "event", "arm", "THY_Q31", "THY_Q32", "THY_Q33", "THY_Q34", "THY_Q35", "THY_Q36", "THY_Q37", "THY_Q38", "THY_Q39", "THY_Q40", "THY_Q41", "THY_Q42", "THY_Q43", "THY_Q44", "THY_Q45", "THY_Q46", "THY_Q47", "THY_Q48", "THY_Q49", "THY_Q50", "THY_Q51", "THY_Q52", "THY_Q53", "THY_Q54", "THY_Q55", "THY_Q56", "THY_Q57", "THY_Q58", "THY_Q59", "THY_Q60", "THY_Q61", "THY_Q62", "THY_Q63", "THY_Q64" ], "rows": 100, "table": true, "tojson": true } ], "_help": [ { "page": "brc_df", "title": "Breast cancer Quality of Life.", "topics": [ "brc_df" ] }, { "page": "brc_df_miss", "title": "Breast cancer Quality of Life with missing values.", "topics": [ "brc_df_miss" ] }, { "page": "brc_qol", "title": "Calculates the domain-based scale scores using the data of QLQ-BR23", "topics": [ "brc_qol" ] }, { "page": "c30_df", "title": "Simulated data for cancer Quality of Life.", "topics": [ 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"ovc_df_miss", "title": "Ovarian cancer Quality of Life data with missing values.", "topics": [ "ovc_df_miss" ] }, { "page": "ovc_qol", "title": "Calculates the domain-based scale scores using the data of QLQ-OV28.", "topics": [ "ovc_qol" ] }, { "page": "patient_miss", "title": "Cancer Quality of Life data with missing values.", "topics": [ "patient_miss" ] }, { "page": "qol", "title": "Calculates the domain-based scale scores using the data from Quality of Life questionnaire", "topics": [ "qol" ] }, { "page": "qol_miss", "title": "Cancer Quality of Life data analysis with missing values.", "topics": [ "qol_miss" ] }, { "page": "surv_br23", "title": "Dataset contains survival outcomes and quality of life for breast cancer patients", "topics": [ "surv_br23" ] }, { "page": "surv_c30", "title": "Dataset contains survival outcomes and quality of life for cancer patients", "topics": [ "surv_c30" ] }, { "page": "surv_c30_miss", "title": "Dataset contains survival outcomes and quality of life 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