tableone：用于创建“表1”的R包，描述具有或不具有倾向得分加权的基线特征.zip

tableone ======== [](https://travis-ci.org/kaz-yos/tableone) [](http://www.r-pkg.org/pkg/tableone) [](http://www.r-pkg.org/pkg/tableone) **An R package to create “Table 1”, description of baseline characteristics** Creates “Table 1”, i.e., description of baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. Weighted data are supported via the survey package. tableone was inspired by descriptive statistics functions in Deducer , a Java-based GUI package by Ian Fellows. This package does not require GUI or Java, and intended for command-line users. tableone in action ==================  The code being executed can be found in the introduction vignette. tableone code example ===================== In this table, continuous and categorical variables can be placed in any order. The p-valeus are from exact tests for pre-specified variables. For nonnormal variables, it shows median and IQR instead of mean and SD, and p-values are from nonparametric tests. Numerically coded categorical variables can be transformed on the fly with factorVars. SMD stands for standardized mean differences. For weighted data, first created a svydesign object, and use the svyCreateTableOne() function. Most other options remain the same. ## Load package library(tableone) ## Load data data(pbc, package = "survival") # drop ID from variable list vars <- names(pbc)[-1] ## Create Table 1 stratified by trt (can add more stratifying variables) tableOne <- CreateTableOne(vars = vars, strata = c("trt"), data = pbc, factorVars = c("status","edema","stage")) ## Specifying nonnormal variables will show the variables appropriately, ## and show nonparametric test p-values. Specify variables in the exact ## argument to obtain the exact test p-values. print(tableOne, nonnormal = c("bili","chol","copper","alk.phos","trig"), exact = c("status","stage"), smd = TRUE, formatOptions = list(big.mark = ",")) ## Stratified by trt ## 1 2 p test SMD ## n 158 154 ## time (mean (SD)) 2,015.62 (1,094.12) 1,996.86 (1,155.93) 0.883 0.017 ## status (%) 0.884 exact 0.054 ## 0 83 (52.5) 85 (55.2) ## 1 10 ( 6.3) 9 ( 5.8) ## 2 65 (41.1) 60 (39.0) ## trt (mean (SD)) 1.00 (0.00) 2.00 (0.00) <0.001 Inf ## age (mean (SD)) 51.42 (11.01) 48.58 (9.96) 0.018 0.270 ## sex = f (%) 137 (86.7) 139 (90.3) 0.421 0.111 ## ascites (mean (SD)) 0.09 (0.29) 0.06 (0.25) 0.434 0.089 ## hepato (mean (SD)) 0.46 (0.50) 0.56 (0.50) 0.069 0.206 ## spiders (mean (SD)) 0.28 (0.45) 0.29 (0.46) 0.886 0.016 ## edema (%) 0.877 0.058 ## 0 132 (83.5) 131 (85.1) ## 0.5 16 (10.1) 13 ( 8.4) ## 1 10 ( 6.3) 10 ( 6.5) ## bili (median [IQR]) 1.40 [0.80, 3.20] 1.30 [0.72, 3.60] 0.842 nonnorm 0.171 ## chol (median [IQR]) 315.50 [247.75, 417.00] 303.50 [254.25, 377.00] 0.544 nonnorm 0.038 ## albumin (mean (SD)) 3.52 (0.44) 3.52 (0.40) 0.874 0.018 ## copper (median [IQR]) 73.00 [40.00, 121.00] 73.00 [43.00, 139.00] 0.717 nonnorm <0.001 ## alk.phos (median [IQR]) 1,214.50 [840.75, 2,028.00] 1,283.00 [922.50, 1,949.75] 0.812 nonnorm 0.037 ## ast (mean (SD)) 120.21 (54.52) 124.97 (58.93) 0.460 0.084 ## trig (median [IQR]) 106.00 [84.50, 146.00] 113.00 [84.50, 155.00] 0.370 nonnorm 0.017 ## platelet (mean (SD)) 258.75 (100.32) 265.20 (90.73) 0.555 0.067 ## protime (mean (SD)) 10.65 (0.85) 10.80 (1.14) 0.197 0.146 ## stage (%) 0.205 exact 0.246 ## 1 12 ( 7.6) 4 ( 2.6) ## 2 35 (22.2) 32 (20.8) ## 3 56 (35.4) 64 (41.6) ## 4 55 (34.8) 54 (35.1) Installation ============ This version of tableone package for R is developmetal, and may not be available from the CRAN. You can install it using one of the following way. **Direct installation from github** You first need to install the devtools package to do the following. You can choose from the latest stable version and the latest development version. ## Install devtools (if you do not have it already) install.packages("devtools") ## Install directly from github (develop branch) devtools::install_github(repo = "kaz-yos/tableone", ref = "develop") Using devtools may requires some preparation, please see the following link for information. <a href="http://www.rstudio.com/projects/devtools/" class="uri">http://www.rstudio.com/projects/devtools/</a> Contributors ============ I would like to thank all the contributors! - Alexander Bartel [ndevln](https://github.com/ndevln) - Jonathan J Chipman [chipmanj](https://github.com/chipmanj) - Justin Bohn [jmb01](https://github.com/jmb01) - Lucy D’Agostino McGowan [LucyMcGowan](https://github.com/LucyMcGowan) - Malcolm Barrett [malcolmbarrett](https://github.com/malcolmbarrett) - Rune Haubo B Christensen [runehaubo](https://github.com/runehaubo) - [gbouzill](https://github.com/gbouzill) Similar or complementary projects ================================= There are multiple similar or complementary projects of interest. - DescTools: Tools for Descriptive Statistics. <a href="https://cran.r-project.org/web/packages/DescTools/index.html" class="uri">https://cran.r-project.org/web/packages/DescTools/index.html</a> - Gmisc: Descriptive Statistics, Transition Plots, and More. <a href="https://cran.r-project.org/web/packages/Gmisc/" class="uri">https://cran.r-project.org/web/packages/Gmisc/</a> - Hmisc (summary.formula): Advanced table making and many more. <a href="http://biostat.mc.vanderbilt.edu/wiki/Main/Hmisc" class="uri">http://biostat.mc.vanderbilt.edu/wiki/Main/Hmisc</a> - arsenal: An Arsenal of ‘R’ Functions for Large-Scale Statistical Summaries. <a href="https://github.com/eheinzen/arsenal" class=