{"id":15,"date":"2020-02-04T16:54:48","date_gmt":"2020-02-04T07:54:48","guid":{"rendered":"http:\/\/www.kyenslab.com\/en-us\/?page_id=15"},"modified":"2020-11-30T13:01:42","modified_gmt":"2020-11-30T04:01:42","slug":"about-kyplot-6","status":"publish","type":"page","link":"https:\/\/www.kyenslab.com\/en-us\/about-kyplot-6\/","title":{"rendered":"About KyPlot 6.0"},"content":{"rendered":"
KyPlot is a software package for data analysis and visualization.
\nYou can read an article about KyPlot from\u00a0\u00a0here<\/span><\/strong>\u00a0<\/span><\/a>.
\nThe followings are main functionalities of KyPlot.<\/section>\n
\n

<\/h3>\n

Changes in Version 6.0.2<\/h3>\n

1. Bug fixes<\/p>\n

2. New functionalities<\/p>\n

1) Spherical graphs (3D)<\/p>\n

See samples file: SpherG<\/p>\n

2) 3D map graphs<\/p>\n

See samples file: Map3DG, Map3DList<\/p>\n

New functionalities in Version 6.0.1<\/h3>\n

1) 2D and 3D pie graphs<\/p>\n

See samples file: PieG<\/p>\n

2) Scatter bar graphs (2D and 3D clustered bar\/stacked bar graphs)<\/p>\n

See samples file: ScatterBarG<\/p>\n

3) Other samples<\/p>\n

Graph templates for USA states data: MapUSAAreas and MapUSABars<\/p>\n

New functionalities in Version 6.0.0<\/h3>\n
1) Map graphs: map line\/scatter\/area graphs, map mesh graphs (image\/contour\/surface), map bubble graphs and map vector graphs. 26 map projections are available.
\nSee samples files: MapG, MapList and MapWorld.
\nSee also graph templates for Japan prefecture data: MapJapanAreas, MapJapanBars, MapJapanCompactAreas, MapJapanCompactBars and MapJapanCompactPolygons.2) Cylindrical graphs: cylindrical line\/scatter\/area graphs, cylindrical mesh graphs (surface \/contour\/column), cylindrical bubble graphs and cylindrical vector graphs
\nSee sample file: CylindG.<\/article>\n<\/section>\n
\n

Data analysis<\/h3>\n
\"\"\u2022Spreadsheet calculations\u2022Averaging and filtering of data\u2022Removing a linear trend form time series data\u2022Differencing, differentiating and integrating data\u2022Creating histograms, cumulative distributions, regressograms of data\u2022Estimating and plotting kernel densities of data\u2022Measurement of peaks and areas\u2022Matrix and vector operations\u2022Numerical solutions of differential equations and integrations\u2022Linear, quadratic and nonlinear optimizations\u2022Convolution and deconvolution\u2022One dimensional and two dimensional Fourier transforms\u2022Spectral and time series analyses<\/p>\n

\u2022Gabor transform and wavelet analysis<\/p>\n<\/article>\n<\/section>\n

\n

Statistical analysis<\/h3>\n
\"\"\u2022Descriptive statistics\u2022Contingency tables\u2022Parametric tests (linear correlation, t-test for unpaired or paired comparison, t-test for mean, Single factor ANOVA, Two factor ANOVA with or without replication, Single factor ANCOVA with one covariate or multiple covariates, Parametric multiple comparisons:Tukey and Dunnett tests, Smirnov-Grubbs test for outliers, Shapiro-Wilk normality test)\u2022Non-parametric Tests (Spearman\/Kendall rank correlation, Wilcoxon rank sum and signed rank tests, Kruskal-Wallis test, Jonckheere trend test, Friedman test with or without replication, Nonparametric multiple comparisons:Steel-Dwass and Steel tests, Kolmogorov-Smirnov test for one sample or two samples)\u2022Regression analysis (Simple, polynomial and multiple regressions, Nonparametric simple regression, Parallelism test of 2 regression lines\/Parallel line assay, Nonparametric test for parallelism of 2 regression lines)\u2022Multivariate analysis (Principal component analysis, Factor analysis, Canonical correlation analysis, Discriminant analysis, Cluster analysis)\u2022Generalized linear models (Univariate and multivariate logistic regressions, Probit analysis, Poisson regression)\u2022Survival analysis (Weibull model, Proportional hazard model, Kaplan-Meier method, Life table method and Log-rank test\/Generalized Wilcoxon test)<\/article>\n<\/section>\n
\n

Graph<\/h3>\n
\"\"[2D graph]<\/article>\n
\u2022Bar, Stacked Bar, Pie, Radar, Ternary, Table, Box\/Column Scatter
\n\u2022XY Line\/Scatter\/Area, XY Mesh (Image\/Contour\/Surface), , XY Bubble, XY Vector
\n\u2022Polar Line\/Scatter\/Area, Polar Mesh (Image\/Contour\/Surface), Polar Bubble, Polar Vector
\n\u2022Map Line\/Scatter\/Area, Map Mesh (Image\/Contour\/Surface), Map Bubble, Map Vector[3D graph]\u2022Waterfall, 3D Bar, 3D Stacked Bar
\n\u2022XYZ Line\/Scatter, XYZ Mesh (Surface\/Contour\/Column), XYZ Bubble, XYZ Vector
\n\u2022Cylindrical Line\/Scatter, Cylindrical Mesh (Surface\/Contour\/Column), Cylindrical Bubble, Cylindrical Vector<\/article>\n<\/section>\n
\n

Graph fitting<\/h3>\n
\"\"\u2022Function fits:nonlinear least squares and maximum likelihood methods (2D, 3D)\u2022Polynomial regression (2D)\u2022Piecewise polynomial interpolation (2D)\u2022B-spline fits (2D)\u2022Surface interpolations (3D)\u2022Smoothing spline regression (2D)\u2022Thin plate smoothing spline regression (3D)\u2022Local polynomial regression (2D, 3D)\u2022Wavelet regression (2D)\u2022Fourier series regression (2D)\u2022Local likelihood regression (2D, 3D)\u2022Penalized likelihood regression (2D, 3D)\u2022Local polynomial regression for plane and space curves (2D, 3D)<\/p>\n

\u2022Smoothing spline regression for plane and space curves (2D, 3D)<\/p>\n

\u2022Histograms and freaquency polygons (2D, 3D)<\/p>\n

\u2022Kernel density estimation (2D, 3D)<\/p>\n

\u2022Local likelihood density estimation (2D, 3D)<\/p>\n

\u2022Penalized likelihood density estimation (2D, 3D)<\/p>\n

\u2022Parametric curve interpolation (2D, 3D)<\/p>\n<\/article>\n<\/section>\n

\n

Function plot<\/h3>\n
\"\"\u2022Cartesian univariate function curve (2D)
\n\u2022Cartesian parametric plane curve (2D)
\n\u2022Cartesian bivariate implicit function curve (2D)
\n\u2022Cartesian parametric space curve (3D)
\n\u2022Cartesian bivariate function surface (3D\/2D)
\n\u2022Cartesian parametric surface (3D)
\n\u2022Polar univariate function curve (2D)
\n\u2022Polar parametric plane curve (2D)
\n\u2022Polar bivariate implicit function curve (2D)
\n\u2022Cylindrical parametric space curve (3D)
\n\u2022Cylindrical\/Polar bivariate function surface (3D\/2D)
\n\u2022Cylindrical parametric surface (3D)<\/article>\n<\/section>\n
\n

Drawing<\/h3>\n
\"\"\u2022It is possible to draw a line, a B-spline curve, an ellipse, a polygon, a text, etc., grouping, and aligning with the mouse only. You can also set the size and position of the shape numerically to create an accurate picture.\u2022In the editing of text, you can set it freely like a word processor software such as superscript, subscript, and line spacing, and you can write a formula.\u2022You can import or export diagrams and graphs in the following formats:Windows meta file (wmf), Enhanced meta file (emf), Windows bitmap (bmp), JPEG (jpg), TIFF (tif), Portable Network Graphics (png), Photoshop (psd), Encapsulated PostScript (eps, only raster format)<\/article>\n<\/section>\n
\n

GALLERY<\/h3>\n
\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n
\"\"<\/a><\/figure>\n<\/article>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

KyPlot is a software package for data analysis and visualization.<\/p>\n

Continue readingAbout KyPlot 6.0<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.kyenslab.com\/en-us\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kyenslab.com\/en-us\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.kyenslab.com\/en-us\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.kyenslab.com\/en-us\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kyenslab.com\/en-us\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":12,"href":"https:\/\/www.kyenslab.com\/en-us\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":93,"href":"https:\/\/www.kyenslab.com\/en-us\/wp-json\/wp\/v2\/pages\/15\/revisions\/93"}],"wp:attachment":[{"href":"https:\/\/www.kyenslab.com\/en-us\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}