fix more urls

Author: mllg

DESCRIPTION

@@ -12,8 +12,8 @@ Description: As a successor of the packages 'BatchJobs' and 'BatchExperiments',
     this package provides a parallel implementation of the Map function for high
     performance computing systems managed by schedulers 'IBM Spectrum LSF'
     (<https://www.ibm.com/products/hpc-workload-management>),
-    'OpenLava' (<http://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid
-    Engine' (<http://www.univa.com/>), 'Slurm' (<http://slurm.schedmd.com/>),
+    'OpenLava' (<https://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid
+    Engine' (<https://www.univa.com/>), 'Slurm' (<https://slurm.schedmd.com/>),
     'TORQUE/PBS'
     (<https://adaptivecomputing.com/cherry-services/torque-resource-manager/>),
     or 'Docker Swarm' (<https://docs.docker.com/engine/swarm/>).

R/Joins.R

@@ -4,7 +4,7 @@
 #' @description
 #' These helper functions perform join operations on data tables.
 #' Most of them are basically one-liners.
-#' See \url{http://rpubs.com/ronasta/join_data_tables} for a overview of join operations in
+#' See \url{https://rpubs.com/ronasta/join_data_tables} for a overview of join operations in
 #' data table or alternatively \pkg{dplyr}'s vignette on two table verbs.
 #'
 #' @param x [\code{\link{data.frame}}]\cr

R/clusterFunctionsSGE.R

@@ -2,7 +2,7 @@
 #'
 #' @description
 #' Cluster functions for Univa Grid Engine / Oracle Grid Engine /
-#' Sun Grid Engine (\url{http://www.univa.com/}).
+#' Sun Grid Engine (\url{https://www.univa.com/}).
 #'
 #' Job files are created based on the brew template \code{template}. This
 #' file is processed with brew and then submitted to the queue using the

R/clusterFunctionsSlurm.R

@@ -1,7 +1,7 @@
 #' @title ClusterFunctions for Slurm Systems
 #'
 #' @description
-#' Cluster functions for Slurm (\url{http://slurm.schedmd.com/}).
+#' Cluster functions for Slurm (\url{https://slurm.schedmd.com/}).
 #'
 #' Job files are created based on the brew template \code{template.file}. This
 #' file is processed with brew and then submitted to the queue using the

README.md

@@ -1,7 +1,7 @@
 # batchtools
 
-[![JOSS Publicatoin](http://joss.theoj.org/papers/10.21105/joss.00135/status.svg)](https://doi.org/10.21105/joss.00135)
-[![CRAN Status Badge](http://www.r-pkg.org/badges/version/batchtools)](https://cran.r-project.org/package=batchtools)
+[![JOSS Publicatoin](https://joss.theoj.org/papers/10.21105/joss.00135/status.svg)](https://doi.org/10.21105/joss.00135)
+[![CRAN Status Badge](https://www.r-pkg.org/badges/version/batchtools)](https://cran.r-project.org/package=batchtools)
 [![Build Status](https://travis-ci.org/mllg/batchtools.svg?branch=master)](https://travis-ci.org/mllg/batchtools)
 [![Build Status](https://ci.appveyor.com/api/projects/status/ypp14tiiqfhnv92k/branch/master?svg=true)](https://ci.appveyor.com/project/mllg/batchtools/branch/master)
 

man/JoinTables.Rd

@@ -33,11 +33,11 @@ It provides an implementation of a Map-like operation to define and asynchronous
 * Local (non-blocking) parallel execution using `parallel`'s multicore backend [@R] or [`snow`](https://cran.r-project.org/package=snow)'s socket mode [@snow].
 * Execution on loosely connected machines using SSH (including basic resource usage control).
 * [Docker Swarm](https://docs.docker.com/engine/swarm/)
-* [IBM Spectrum LSF](http://www-03.ibm.com/systems/spectrum-computing/products/lsf/)
-* [OpenLava](http://www.openlava.org/)
-* [Univa Grid Engine](http://www.univa.com/) (formerly Oracle Grind Engine and Sun Grid Engine)
-* [Slurm Workload Manager](http://slurm.schedmd.com/)
-* [TORQUE/PBS Resource Manager](http://www.adaptivecomputing.com/products/open-source/torque/)
+* [IBM Spectrum LSF](https://www.ibm.com/products/hpc-workload-management)
+* [OpenLava](https://www.openlava.org/)
+* [Univa Grid Engine](https://www.univa.com/) (formerly Oracle Grind Engine and Sun Grid Engine)
+* [Slurm Workload Manager](https://slurm.schedmd.com/)
+* [TORQUE/PBS Resource Manager](https://adaptivecomputing.com/cherry-services/moab-hpc/)
 
 Extensibility and user customization are important features as configuration on high-performance computing clusters is often heavily tailored towards very specific requirements or special hardware.
 Hence, the interaction with the schedulers uses a template engine for improved flexibility.