Merge pull request #428 from massimoaria/master

sync master and develop

R/collabByRegionPlot.R

@@ -17,7 +17,7 @@
 #' \code{type="fruchterman"}\tab   \tab Fruchterman-Reingold layout\cr
 #' \code{type="kamada"}\tab   \tab  Kamada-Kawai layout}
 #'  
-#' @param vos.path is a character indicating the full path whre VOSviewer.jar is located.
+#' @param vos.path is a character indicating the full path where VOSviewer.jar is located.
 #' @param size is integer. It defines the size of each vertex. Default is \code{size=3}. 
 #' @param size.cex is logical. If TRUE the size of each vertex is proportional to its degree.  
 #' @param noloops is logical. If TRUE loops in the network are deleted.

R/conceptualStructure.R

@@ -22,7 +22,7 @@ utils::globalVariables(c("label"))
 #' An n-gram is a contiguous sequence of n terms. The function can extract n-grams composed by 1, 2, 3 or 4 terms. Default value is \code{ngrams=1}.
 #' @param method is a character object. It indicates the factorial method used to create the factorial map. Use \code{method="CA"} for Correspondence Analysis,
 #'  \code{method="MCA"} for Multiple Correspondence Analysis or \code{method="MDS"} for Metric Multidimensional Scaling. The default is \code{method="MCA"}
-#' @param minDegree is an integer. It indicates the minimum occurrences of terms to analize and plot. The default value is 2.
+#' @param minDegree is an integer. It indicates the minimum occurrences of terms to analyze and plot. The default value is 2.
 #' @param clust is an integer or a character. If clust="auto", the number of cluster is chosen automatically, otherwise clust can be an integer between 2 and 8.
 #' @param k.max is an integer. It indicates the maximum number of cluster to keep. The default value is 5. The max value is 20.
 #' @param stemming is logical. If TRUE the Porter's Stemming algorithm is applied to all extracted terms. The default is \code{stemming = FALSE}.

R/convert2df.R

@@ -19,7 +19,7 @@
 #' @param remove.duplicates is logical. If TRUE, the function will remove duplicated items checking by DOI and database ID.
 #' @return a data frame with cases corresponding to articles and variables to Field Tags in the original export file.
 #' 
-#' I.e We have three files downlaod from Web of Science in plaintext format, file will be:
+#' I.e We have three files download from Web of Science in plaintext format, file will be:
 #' 
 #' file <- c("filename1.txt", "filename2.txt", "filename3.txt") 
 #' 

R/histNetwork.R

@@ -6,11 +6,11 @@
 #' @param M is a bibliographic data frame obtained by the converting function
 #'   \code{\link{convert2df}}. It is a data matrix with cases corresponding to
 #'   manuscripts and variables to Field Tag in the original SCOPUS, OpenAlex, Lens.org and Clarivate
-#'   Analitics Web of Science file.
+#'   Analytics Web of Science file.
 #' @param min.citations DEPRECATED. New algorithm does not use this parameters. It will be remove in the next version of bibliometrix. 
 #' @param sep is the field separator character. This character separates strings
 #'   in CR column of the data frame. The default is \code{sep = ";"}.
-#' @param network is logical. If TRUE, fuction calculates and returns also the direct citation network. If FALSE,
+#' @param network is logical. If TRUE, function calculates and returns also the direct citation network. If FALSE,
 #' the function returns only the local citation table.
 #' @param verbose is logical. If TRUE, results are printed on screen.
 #' @return \code{histNetwork} returns an object of \code{class} "list"

R/lotka.R

@@ -14,7 +14,7 @@
 #' \code{C}   \tab   \tab Constant coefficient\cr
 #' \code{R2} \tab   \tab Goodness of Fit\cr
 #' \code{fitted} \tab     \tab Fitted Values\cr
-#' \code{p.value} \tab     \tab Pvalue of two-sample Kolmogorov-Smirnov test between the empirical and the theorical Lotka's Law distribution (with Beta=2)\cr
+#' \code{p.value} \tab     \tab Pvalue of two-sample Kolmogorov-Smirnov test between the empirical and the theoretical Lotka's Law distribution (with Beta=2)\cr
 #' \code{AuthorProd}    \tab   \tab Authors' Productivity frequency table}
 #'
 #' @examples

R/net2VOSviewer.R

@@ -7,7 +7,7 @@
 #' 
 #' 
 #' @param net is an object created by networkPlot function.
-#' @param vos.path is a character indicating the full path whre VOSviewer.jar is located.
+#' @param vos.path is a character indicating the full path where VOSviewer.jar is located.
 #' @return It write a .net file that can be open in VOSviewer 
 #' 
 #' @examples

R/networkPlot.R

@@ -20,7 +20,7 @@
 #' \code{type="kamada"}\tab   \tab  Kamada-Kawai layout}
 #'  
 #' @param Title is a character indicating the plot title. 
-#' @param vos.path is a character indicating the full path whre VOSviewer.jar is located.
+#' @param vos.path is a character indicating the full path where VOSviewer.jar is located.
 #' @param size is integer. It defines the size of each vertex. Default is \code{size=3}. 
 #' @param size.cex is logical. If TRUE the size of each vertex is proportional to its degree.  
 #' @param noloops is logical. If TRUE loops in the network are deleted.

R/plot.bibliodendrogram.R

@@ -2,7 +2,7 @@
 #'
 #' \code{plot} method for class '\code{bibliodendrogram}'
 #' @param x is the object for which plots are desired.
-#' @param ... is a geenric param for plot functions.
+#' @param ... is a generic param for plot functions.
 #' @return The function \code{plot} draws a dendrogram. 
 #' 
 #'

R/splitCommunities.R

@@ -2,7 +2,7 @@
 #'
 #' \code{networkPlot} Create a network plot with separated communities.
 #'
-#' The function \code{\link{splitCommunities}} splits communitites in separated subnetworks from a bibliographic network plot previously created by \code{\link{networkPlot}}.
+#' The function \code{\link{splitCommunities}} splits communities in separated subnetworks from a bibliographic network plot previously created by \code{\link{networkPlot}}.
 #' 
 #' @param graph is a network plot obtained by the function \code{\link{networkPlot}}. 
 #' @param n is an integer. It indicates the number of vertices to plot for each community.

R/thematicMap.R

@@ -5,7 +5,7 @@ globalVariables(".")
 #' The methodology is inspired by the proposal of Cobo et al. (2011). 
 #' 
 #' \code{thematicMap} starts from a co-occurrence keyword network to plot in a 
-#' two-dimesional map the typological themes of a domain.\cr\cr
+#' two-dimensional map the typological themes of a domain.\cr\cr
 #' 
 #' Reference:\cr
 #' Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, 

README.Rmd

@@ -76,7 +76,7 @@ It supports scholars in easy use of the main features of bibliometrix:
 
     - Intellectual Structure  
 
-    - Social Strucutre
+    - Social Structure
 
 
 
@@ -145,7 +145,7 @@ The export file can be read and converted using by R using the function *convert
 
 **convert2df**(*file*, *dbsource*, *format*)
 
-The argument *file* is a character vector containing the name of export files downloaded from SCOPUS, Clarivate Analytics WoS, OpenAlex, Digital Science Dimensions, PubMed or Cochrane CDSR website. *file* can also contains the name of a json/xlm object download using OpenAlex, Digital Science Dimenions or PubMed APIs (through the packages *openalexR*, *dimensionsR* and *pubmedR*.
+The argument *file* is a character vector containing the name of export files downloaded from SCOPUS, Clarivate Analytics WoS, OpenAlex, Digital Science Dimensions, PubMed or Cochrane CDSR website. *file* can also contains the name of a json/xlm object download using OpenAlex, Digital Science Dimensions or PubMed APIs (through the packages *openalexR*, *dimensionsR* and *pubmedR*.
 
 es. file <- c("file1.txt","file2.txt", ...)
 
@@ -365,7 +365,7 @@ D'Aniello, L., Spano, M., Cuccurullo, C., & Aria, M. (2022). Academic Health Cen
 
 Aria M., Misuraca M., Spano M. (2020) Mapping the evolution of social research and data science on 30 years of Social Indicators Research, *Social Indicators Research*. (DOI: https://doi.org/10.1007/s11205-020-02281-3)
 
-Aria M., Alterisio A., Scandurra A, Pinelli C., D’Aniello B, (2021) The scholar’s best friend: research trends in dog cognitive and behavioural studies, A*nimal Cognition*. (https://doi.org/10.1007/s10071-020-01448-2)
+Aria M., Alterisio A., Scandurra A, Pinelli C., D’Aniello B, (2021) The scholar’s best friend: research trends in dog cognitive and behavioural studies, *Animal Cognition*. (https://doi.org/10.1007/s10071-020-01448-2)
 
 Cuccurullo, C., Aria, M., & Sarto, F. (2016). Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains, *Scientometrics*, DOI: 10.1007/s11192-016-1948-8 (https://doi.org/10.1007/s11192-016-1948-8)
 

README.md

@@ -77,7 +77,7 @@ It supports scholars in easy use of the main features of bibliometrix:
 
   - Intellectual Structure
 
-  - Social Strucutre
+  - Social Structure
 
 ### How to use biblioshiny
 
@@ -86,7 +86,7 @@ bibliometrix website <https://www.bibliometrix.org/>
 
 ## How to cite bibliometrix
 
-If you use this package for your research, we must cite it.
+If you use this package for your research, you must cite it.
 
 To cite bibliometrix in publications, please use:
 
@@ -151,7 +151,7 @@ The argument *file* is a character vector containing the name of export
 files downloaded from SCOPUS, Clarivate Analytics WoS, OpenAlex, Digital
 Science Dimensions, PubMed or Cochrane CDSR website. *file* can also
 contains the name of a json/xlm object download using OpenAlex, Digital
-Science Dimenions or PubMed APIs (through the packages *openalexR*,
+Science Dimensions or PubMed APIs (through the packages *openalexR*,
 *dimensionsR* and *pubmedR*.
 
 es. file \<- c(“file1.txt”,“file2.txt”, …)
@@ -707,7 +707,7 @@ research and data science on 30 years of Social Indicators Research,
 
 Aria M., Alterisio A., Scandurra A, Pinelli C., D’Aniello B, (2021) The
 scholar’s best friend: research trends in dog cognitive and behavioural
-studies, A*nimal Cognition*.
+studies, *Animal Cognition*.
 (<https://doi.org/10.1007/s10071-020-01448-2>)
 
 Cuccurullo, C., Aria, M., & Sarto, F. (2016). Foundations and trends in

man/bibliometrix-package.Rd

@@ -186,7 +186,7 @@ Cuccurullo, C., Aria, M., & Sarto, F. (2013). Twenty years of research on perfor
 \concept{co-citations}
 \concept{network}
 \concept{co-authors}
-\concept{co-occurences}
+\concept{co-occurrences}
 \concept{collaboration}
 \concept{co-word analysis}