rkward - en to en_GB translation catalogue (29 entries)

note: i18n: ectx: (Loaded from Barplot) <settings> <setting> (refers to element labelled "Tabulate data before plotting") i18n: ectx: (Loaded from Dot chart) <settings> <setting> (refers to element labelled "Tabulate data before plotting") i18n: ectx: (Loaded from Pareto chart) <settings> <setting> (refer
en: If your data needs to be tabulated / aggregated before plotting, check this option. Refer to <link href="rkward://component/one_var_tabulation"/> for details on the dependent options.
en_GB: If your data needs to be tabulated / aggregated before plotting, tick this option. Refer to <link href="rkward://component/one_var_tabulation"/> for details on the dependent options.

note: i18n: ectx: (Loaded from Barplot) <settings> <setting> (refers to element labelled "Limit number of groups") i18n: ectx: (Loaded from Dot chart) <settings> <setting> (refers to element labelled "Limit number of groups") i18n: ectx: (Loaded from Pareto chart) <settings> <setting> (refers to element l
en: If there are very many categories in your data, it may make sense to limit the amount of categories that will be displayed. Check this, if you want to set a limit. See Refer to <link href="rkward://component/limit_vector_length"/> for details on the dependent options.
en_GB: If there are very many categories in your data, it may make sense to limit the amount of categories that will be displayed. Tick this, if you want to set a limit. See Refer to <link href="rkward://component/limit_vector_length"/> for details on the dependent options.

note: i18n: ectx: (Loaded from Boxplot) <usage>
en: Choose numerical data to be plotted. Data can be organized in separate vectors, or in a single outcome variable and one or more grouping variables.
en_GB: Choose numerical data to be plotted. Data can be organised in separate vectors, or in a single outcome variable and one or more grouping variables.

note: i18n: ectx: (Loaded from Boxplot) <settings> <setting> (refers to element labelled "Draw Outliers")
en: Whether to draw outliers (if any). Outliers are draw as dots, if this option is checked.
en_GB: Whether to draw outliers (if any). Outliers are draw as dots, if this option is ticked.

note: i18n: ectx: (Loaded from Boxplot) <settings> <setting> (refers to element labelled "Color")
en: Color of mean / sd indicators. This option is only available, if at least one of mean or sd are to be drawn.
en_GB: Colour of mean / sd indicators. This option is only available, if at least one of mean or sd are to be drawn.

note: i18n: ectx: (Boxplot) <dialog label="Boxplot"> <tab label="Variable(s)"> <frame label="Labels"> <radio label="...">
en: Labeling
en_GB: Labelling

note: i18n: ectx: (Boxplot) <dialog label="Boxplot"> <tab label="Options"> <frame label="...">
en: Size and color of marks
en_GB: Size and colour of marks

note: i18n: ectx: (Boxplot) <dialog label="Boxplot"> <tab label="Options"> <frame label="Size and color of marks"> <embed label="..."> i18n: ectx: (Density Plot) <dialog label="Density Plot"> <tab label="Options"> <frame label="Rug"> <embed label="..."> i18n: ectx: (Empirical Distribution Function) <dialo
en: Color
en_GB: Colour

note: i18n: ectx: (Loaded from Density Plot) <settings> <setting> (refers to element labelled "type of plot")
en: Type of plot: Plain density curve, or density curve with highest density regions marked up. For the second option, only the gaussian smoothing kernel is available (see below).
en_GB: Type of plot: Plain density curve, or density curve with highest density regions marked up. For the second option, only the Gaussian smoothing kernel is available (see below).

note: i18n: ectx: (Loaded from Density Plot) <settings> <setting> (refers to element labelled "Bandwidth")
en: Mode of choosing bandwidth. This is only applicable for gaussian smoothing kernels. This is the <i>bw</i> option of <link href="rkward://rhelp/density">density()</link>.
en_GB: Mode of choosing bandwidth. This is only applicable for Gaussian smoothing kernels. This is the <i>bw</i> option of <link href="rkward://rhelp/density">density()</link>.

note: i18n: ectx: (Loaded from Density Plot) <settings> <setting> (refers to element labelled "Color")
en: Color to use for drawing the rug.
en_GB: Colour to use for drawing the rug.

note: i18n: ectx: (Density Plot) <dialog label="Density Plot"> [...] <dropdown label="Smoothing Kernel"> <option label="...">
en: gaussian (default)
en_GB: Gaussian (default)

note: i18n: ectx: (Loaded from Dot chart) i18n: ectx: (Loaded from Pareto chart) i18n: ectx: (Loaded from Pie chart)
en: Data is not numeric, but proceeding as requested.\nDid you forget to check the tabulate option?
en_GB: Data is not numeric, but proceeding as requested.\nDid you forget to tick the tabulate option?

note: i18n: ectx: (Loaded from Empirical Distribution Function) <settings> <setting> (refers to element labelled "Color")
en: Color of the theoretical normal distribution curve.
en_GB: Colour of the theoretical normal distribution curve.

note: i18n: ectx: (Loaded from Empirical Distribution Function) <settings> <setting> (refers to element labelled "Color")
en: Color of the rug
en_GB: Colour of the rug

note: i18n: ectx: (Loaded from Histogram) <settings> <setting> (refers to element labelled "Color")
en: Which color should the density line be drawn in?
en_GB: Which colour should the density line be drawn in?

note: i18n: ectx: (Loaded from Histogram) <settings> <setting> (refers to element labelled "Remove Missing Values")
en: Remove missing values? If not checked, missing values will cause an error.
en_GB: Remove missing values? If not ticked, missing values will cause an error.

note: i18n: ectx: (Loaded from Pareto chart) <summary>
en: Creates a pareto chart, and (optionally) prints the values.
en_GB: Creates a Pareto chart, and (optionally) prints the values.

note: i18n: ectx: (Loaded from Pareto chart) <settings> <setting> (refers to element labelled "Raw vector to plot")
en: If your data is already contains defect counts or defect costs, or other data suitable for direct display in a pareto chart, specify it here. Otherwise, leave this empty, and check the "Tabulate" option, above.
en_GB: If your data is already contains defect counts or defect costs, or other data suitable for direct display in a Pareto chart, specify it here. Otherwise, leave this empty, and check the "Tabulate" option, above.

note: i18n: ectx: (Loaded from Pie chart)
en: Counter clockwise
en_GB: anticlockwise

note: i18n: ectx: (Loaded from Pie chart) <settings> <setting> (refers to element labelled "Colors")
en: Type of colors to use.
en_GB: Type of colours to use.

note: i18n: ectx: (Loaded from Pie chart) <settings> <setting> (refers to element labelled "clockwise")
en: Define if slices should be drawn clockwise or counter clockwise.
en_GB: Define if slices should be drawn clockwise or anticlockwise.

note: i18n: ectx: (Loaded from Pie chart) <settings> <setting> (refers to element labelled "angle")
en: Slope of shading lines, given as an angle in degrees (counter-clockwise). This option is only available, if shading lines are drawn, as controlled by the density options above.
en_GB: Slope of shading lines, given as an angle in degrees (anticlockwise). This option is only available, if shading lines are drawn, as controlled by the density options above.

note: i18n: ectx: (Pie chart) <dialog label="Pie chart"> <tab label="Options"> <radio label="...">
en: Colors
en_GB: Colours

note: i18n: ectx: (Pie chart) <dialog label="Pie chart"> <tab label="Options"> <radio label="Colors"> <option label="...">
en: Grayscale
en_GB: Greyscale

note: i18n: ectx: (Pie chart) <dialog label="Pie chart"> <tab label="Options"> <radio label="Colors"> <option label="...">
en: Rainbow colors
en_GB: Rainbow colours

note: i18n: ectx: (Loaded from Generic Plot) <usage>
en: Choose the X and Y variables and customize the options to draw the plot.
en_GB: Choose the X and Y variables and customise the options to draw the plot.

note: i18n: ectx: (Loaded from Generic Plot) <usage>
en: Note: <b>plot</b> is a generic function. The type of plot you will actually get depends on the type of the input variables. For instance, for numeric vectors a scatterplot is produced (see below), while for data.frames as scatterplot matrix is plotted, etc. This is often useful to provide a meaningful visualization of the data, but does not allow for fine grained control.
en_GB: Note: <b>plot</b> is a generic function. The type of plot you will actually get depends on the type of the input variables. For instance, for numeric vectors a scatterplot is produced (see below), while for data.frames as scatterplot matrix is plotted, etc. This is often useful to provide a meaningful visualisation of the data, but does not allow for fine grained control.

note: i18n: ectx: (Scatterplot) <dialog label="Scatterplot"> <tab label="Options"> <radio label="Color"> <option label="...">
en: Same color for all variables
en_GB: Same colour for all variables
