One variable is represented on the horizontal axis and a second variable is represented on the vertical axis. Reference planes and lines to any access may also be shown on any 3D scatter plot graph.Ĭontour plots are topographical maps drawn from three-dimensional data. When running the software, the plot may be rotated by the user, or can be set to auto-rotate in any direction. The 3D scatter plot displays a collection of trivariate points plotted on an X-Y-Z grid. Below is an example of a forecast plot from the ARIMA (Box-Jenkins) procedure.
Within these procedures, a variety of plots are available, such as forecast plots, autocorrelation plots, spectrum plots, partial autocorrelation plots, cross-correlation plots, periodograms, spectrum plots, decomposition ratio plots, and residual plots.
Histogram maker download series#
Several forecasting and time series procedures are available in NCSS, including procedures for ARIMA (Box-Jenkins), Theoretical ARMA, Cross-Correlations, Decomposition Forecasting, Autocorrelations, Spectral Analysis, and Exponential Smoothing. The NCSS ROC procedure generates both binormal and empirical (nonparametric) ROC curves. These plots are included in the Analysis of Covariance (ANCOVA) with Two Groups and One-Way Analysis of Covariance (ANCOVA) procedures.Ī receiver operating characteristic (ROC) curve shows the characteristics of a diagnostic test by graphing the false-positive rate (1-specificity) on the horizontal axis and the true-positive rate (sensitivity) on the vertical axis for various cutoff values. These plots are produced when the researcher is attempting to compared slopes and/or intercepts (means) of groups in an ANCOVA scenario.
Radial plots and L’Abbe plots can also be produced in these procedures.
Histogram maker download software#
NCSS software has meta-analysis procedures for comparing two means, proportions, correlated proportions, and hazard ratios. In NCSS, each slice may be labeled by category, percentage or proportion, and/or by count.įorest plots are used in meta-analysis to visually compare the center and the variation of the results of several studies. Pie charts are used to visually compare the proportion or percentage of each category to the whole. NCSS also provides procedures for producing grouped histograms for the purpose of distribution comparison. Density overlays can also be added to view a smoother representation of the distribution. A suitable range of the data is divided into equal-width bins, and the height of each bar gives the frequency of the data values in each bin. Histograms are used to display the distribution of a collection of data values along the real number line. (The number of points averaged is specified by the user.) The three-dimensional surface is constructed using these averaged values. This Y value is a weighted average of all data values that are “near” this grid point. Next, a Y value is calculated for each grid point. The range of this grid is equal to the range of the data. A two-dimensional grid of X and Z is constructed. The 3D surface plot is based on a set of three-dimensional points. The color of a cell is proportional to its position along a color gradient. The heat map is a two-way display of a data matrix in which the individual cells are displayed as colored rectangles. The Clustered Heat Maps (Double Dendrograms) procedure can be used to plot hierarchical clustering in two directions. The procedure in NCSS that produces these plots also has a variety of circular data analysis calculations and tests to analyze, for example, mean direction or circular distribution comparison.
Each of these plots displays the distribution of the data around the circle.
The circular histogram and the rose plot are common graphics used in the analysis of circular or angular data. Error-bar charts in NCSS software can be vertical or horizontal, grouped or ungrouped, and can be displayed with boxes or with individual points. NCSS also has a procedure for three-dimensional scatter plots, shown in a later section.Įrror-bar charts are used to display means and associated spread, through the standard error or standard deviation. Some of these features are trend lines (least squares) and confidence limits, polynomials, splines, loess curves, border box plots, and sunflower plots. NCSS includes a host of features to enhance the basic scatter plot. The scatter plot is one of the most powerful tools for analyzing continuous response data. Hazard function and hazard rate plots are also available in this procedure. The Kaplan-Meier Curves (Logrank Tests) procedure can be used to plot the Kaplan-Meier product-limit survivorship function as well as the point-wise confidence intervals (example shown below).
Histogram maker download trial#
For more details of a specific plot, you can download the free trial of NCSS 2019 by clicking here. Below is a sample of many of the plots, charts, and graphs that can be produced in NCSS statistical software.