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Fixing line length (over 100) problems/notes #78

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Merged
StuartWheater merged 1 commit into from
Oct 12, 2026
Merged

Fixing line length (over 100) problems/notes #78

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3 changes: 2 additions & 1 deletion R/ds.asCharacter.R
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Expand Up @@ -44,7 +44,8 @@
#' # Converting the R object into a class character
#' ds.asCharacter(x.name = "D$LAB_TSC",
#' newobj = "char.obj",
#' datasources = connections[1]) #only the first Opal server is used ("study1")
#' datasources = connections[1]) #only the first Opal server
#' #is used ("study1")
#'
#' # Clear the Datashield R sessions and logout
#' datashield.logout(connections)
Expand All @@ -67,6 +68,6 @@
}

calltext <- call("asCharacterDS", x.name)
DSI::datashield.assign(datasources, newobj, calltext)

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file=R/ds.asCharacter.R,line=71,col=7,[namespace_linter] Don't use `::` to access datashield.assign, which is already imported from DSI.

}
3 changes: 2 additions & 1 deletion R/ds.asDataMatrix.R
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Expand Up @@ -43,7 +43,8 @@
#' # Converting the R object into a matrix
#' ds.asDataMatrix(x.name = "D",
#' newobj = "mat.obj",
#' datasources = connections[1]) #only the first Opal server is used ("study1")
#' datasources = connections[1]) #only the first Opal server
#' #is used ("study1")
#'
#' # Clear the Datashield R sessions and logout
#' datashield.logout(connections)
Expand All @@ -66,6 +67,6 @@
}

calltext <- call("asDataMatrixDS", x.name)
DSI::datashield.assign(datasources, newobj, calltext)

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file=R/ds.asDataMatrix.R,line=70,col=7,[namespace_linter] Don't use `::` to access datashield.assign, which is already imported from DSI.

}
3 changes: 2 additions & 1 deletion R/ds.asInteger.R
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Expand Up @@ -57,7 +57,8 @@
#' # Converting the R object into an integer
#' ds.asInteger(x.name = "D$LAB_TSC",
#' newobj = "int.obj",
#' datasources = connections[1]) #only the first Opal server is used ("study1")
#' datasources = connections[1]) #only the first Opal server
#' #is used ("study1")
#' ds.class(x = "int.obj", datasources = connections[1])
#'
#' # Clear the Datashield R sessions and logout
Expand All @@ -80,6 +81,6 @@
}

calltext <- call("asIntegerDS", x.name)
DSI::datashield.assign(datasources, newobj, calltext)

Check warning on line 84 in R/ds.asInteger.R

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file=R/ds.asInteger.R,line=84,col=8,[namespace_linter] Don't use `::` to access datashield.assign, which is already imported from DSI.

}
3 changes: 2 additions & 1 deletion R/ds.asNumeric.R
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Expand Up @@ -57,7 +57,8 @@
#' # Converting the R object into a numeric class
#' ds.asNumeric(x.name = "D$LAB_TSC",
#' newobj = "num.obj",
#' datasources = connections[1]) #only the first Opal server is used ("study1")
#' datasources = connections[1]) #only the first Opal server
#' #is used ("study1")
#' ds.class(x = "num.obj", datasources = connections[1])
#'
#' # Clear the Datashield R sessions and logout
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9 changes: 6 additions & 3 deletions R/ds.completeCases.R
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Expand Up @@ -55,13 +55,16 @@
#' newobj = "D.completeCases", # name for the output object
#' # that is stored in the Opal servers
#' datasources = connections) # All Opal servers are used
#' # (see above the connection to the Opal servers)
#' # (see above the connection to
#' # the Opal servers)
#'
#' ds.completeCases(x1 = "D$LAB_TSC", #vector (variable) of the data frames in the Opal servers
#' ds.completeCases(x1 = "D$LAB_TSC", #vector (variable) of the data frames in
#' #the Opal servers
#' #(see above the connection to the Opal servers)
#' newobj = "LAB_TSC.completeCases", #name for the output variable
#' #that is stored in the Opal servers
#' datasources = connections[2]) #only the second Opal server is used ("study2")
#' datasources = connections[2]) #only the second Opal server
#' #is used ("study2")
#'
#' # Clear the Datashield R sessions and logout
#' datashield.logout(connections)
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3 changes: 2 additions & 1 deletion R/ds.dataFrame.R
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Expand Up @@ -80,7 +80,8 @@
#' completeCases = TRUE, #only rows with not missing values are selected
#' DataSHIELD.checks = FALSE,
#' newobj = "df1",
#' datasources = connections[1], #only the first Opal server is used ("study1")
#' datasources = connections[1], #only the first Opal server
#' #is used ("study1")
#' notify.of.progress = FALSE)
#'
#'
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3 changes: 2 additions & 1 deletion R/ds.dataFrameSort.R
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Expand Up @@ -70,7 +70,8 @@
#' sort.descending = TRUE,
#' sort.method = "numeric",
#' newobj = "df.sort",
#' datasources = connections[1]) #only the first Opal server is used ("study1")
#' datasources = connections[1]) #only the first Opal server
#' #is used ("study1")
#'
#' # Clear the Datashield R sessions and logout
#' datashield.logout(connections)
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7 changes: 4 additions & 3 deletions R/ds.densityGrid.R
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Expand Up @@ -69,10 +69,11 @@
#' ds.densityGrid(x="D$LAB_TSC",
#' y="D$LAB_HDL",
#' type="split"
#' datasources = connections[1])#only the first Opal server is used ("study1")
#' datasources = connections[1])#only the first Opal server
#' #is used ("study1")
#'
#' # Example3: generate a grid density object where the number of intervals is set to 15, for
#' each study separately
#' # Example3: generate a grid density object where the number of intervals is set to 15,
#' # for each study separately
#' ds.densityGrid(x="D$LAB_TSC",
#' y="D$LAB_HDL",
#' type="split",
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