trying to fix error messages

DESCRIPTION

@@ -1,17 +1,17 @@
 Package: daDoctoR
-Title: daDoctoR
-Version: 0.0.0.9004
-Authors@R: c(
-    person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut")))
-Description: Tools for Danish health research. A collection of 
-    functions to ease my work. I'll try to keep it updated for 
-    others to use as well.
-Depends: R (>= 3.4.4)
+Type: Package
+Title: FUNCTIONS FOR HEALTH RESEARCH
+Version: 0.1.0.9001
+Author@R: c(person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut")))
+Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
+Description: I am a Danish medical doctor involved in neuropsychiatric research. 
+   Here I have collected functions I use for my data analysis. You are very 
+   welcome to get inspired or to use my work.
 Imports: broom,
-  dplyr,
-  epiR,
-  ggplot2,
-  MASS
+   dplyr,
+   epiR,
+   ggplot2,
+   MASS
 License: GPL (>= 2)
 Encoding: UTF-8
 LazyData: true

README.md

@@ -1,39 +0,0 @@
-# Intro
-
-I try my best to share my basic workarounds in R to more effectively do statistical research. Feel free to be inspired or comment.
-
-AS all functions have been collected in the package daDoctoR, please refer to the documentation there.
-Install the package with the following command: devtools::install_github('agdamsbo/daDoctoR')
-
-
-## Further research
-
-In need of a suitable function to perform the chi-squared test of Hardy-Weinberg-equillibrium in my study poppulation, I ended up writing my own. It also contains a few summarise functions. This is actually the function I am most proud of, as it represents an actual universal test for both bi- and triallelic sustems in non-sexcromosome genes.
-
-### Genotype distribution testing
-- hwe_allele.R -- requires input in the form of two vectors with alleles listed
-- hwe_geno.R -- requires input as numbers of each genotype (mm, mn, nn for biallelic systems and mm, mn, nn, mo, no, oo for triallelic)
-- hwe.sum.R -- summarising tests for genotypes grouped by af factor. Performs HWE test for each group and returns neatly formatted distribution for easy copy-pasting to print. No comparisons of groups. Use the oddsratio or chisq.test.
-
-### Formatting large data frames
-- col_fact.R -- formatting columns as factor for names containing text elements of a vector provided. Labels or levels can be provided.
-- col_num.R -- formatting columns as numeric for names containing text elements of a vector provided.
-
-### Bivariate logistic regression analyses
-- rep_glm.R -- for a stepwise gating regression approach this provides several bivariate logistic regression analyses for columns of a dataframe specified by af vector of the format c(). Use the dput() to obtain names of dataframe in correct format.
-- rep_lm -- same as rep_glm, but for linear models
-- rep_reg_cie.R -- Analysis of change in estimate approach with specified cut set at 10 % as standard.
-
-### Publishin
-- strobe_print.R -- regression analysis table complying with STROBE.
-
-## Research year
-
-Commands for extracting data from cpr-numbers:
-- age_calc_function.R
-- cpr_check_function.R
-- cpr_sex_function.R
-- date_convert_function.R
-- dob_extract_cpr_function.R
-
-All of these commands are written to work with the Danish Central Person Registry (CPR) numbers of the format ddmmyy-xxxx.

packing.R

@@ -1,8 +1,6 @@
 library(roxygen2)
 library(devtools)
 
-# Packing for publication
-
 source("/Users/andreas/Documents/GitHub/daDoctoR/updatePackageVersion.R")
 
 setwd("/Users/andreas/Documents/GitHub/daDoctoR")

torubleshooting.R

@@ -0,0 +1,3 @@
+## Looking for errors in code
+
+for (f in list.files("/Users/andreas/Documents/GitHub/daDoctoR/R", full.names=TRUE)) parse(f)

update local version.R

@@ -10,3 +10,4 @@ setwd("/")
 devtools::install_github('agdamsbo/daDoctoR')
 
 library(daDoctoR)
+